Location: Mexico City
We are looking for a
Balance Sheet Management Lead [Market & Solvency Risk]
for our
ALM & Treasury Team
— a key role at the intersection of balance sheet management, regulatory capital, and market risk. As we continue to scale as a licensed bank, you will help shape our ALM framework, strengthen capital planning processes, and drive the development of risk management models that support sustainable growth. This role offers the opportunity to work on complex balance sheet challenges, influence strategic decision-making, and collaborate closely with Treasury, Risk, Finance, and Product teams in a fast-paced fintech environment.
Challenges that await you:
Design, enhance, and optimize ALM (Asset-Liability Management) models for FX risk, IRRBB, ensuring alignment with evolving regulatory and market standards
Play pivotal role in regulatory capital adequacy planning process (ICAP), counterparty large exposures management, as well as in quantifying and hedging FX & interest rate risks
Lead the implementation and automation of regulatory reporting (ACLME), ensuring compliance with Mexican financial regulations and Basel III/IV frameworks
Enhance internal ALM processes by identifying gaps, proposing automation solutions, and integrating cutting-edge financial technologies
Act as a subject matter expert (SME) by communicating ALM agenda to cross-functional stakeholders and methodological guidance to junior team members
Collaborate with Treasury Front and Back offices, Capital markets, FP&A, Accounting, Risk management, product teams and IT tribes to ensure data integrity, model accuracy, and regulatory adherence
What makes you a great fit:
Fluent in English with strong communication skills for technical reporting and stakeholder engagement
5+ years of experience in bank Treasury, ALM, risk management, or financial modeling
Degree in STEM, Economics, or Finance
Deep knowledge of financial instruments (structure, profitability, valuation)
Strong quantitative and programming skills, including advanced proficiency in Excel (macros, VBA), SQL, and Python for data analysis and model development is a plus
Proven ability to take ownership of tasks, ready to roll up your sleeves, act independently and work collaboratively in a high-paced, analytical environment
Our ways of working:
Innovative Spirit:
A commitment to creativity and groundbreaking solutions
Honest Feedback:
valuing open, transparent communication
Supportive Team:
a strong, collaborative community
Celebrating Achievements:
recognizing our wins together
High-Tech Environment:
a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances
Our benefits:
Relocation support
to Mexico with assistance for the employee and their family
Flexible work
from our office or remote
Healthcare
Coverage
Education Budget:
Language lessons, professional training and certifications
Wellness Budget:
Mental health and fitness activity reimbursements
Vacation policy:
Annual leave and paid sick leave as per applicable policies
Location: Tashkent, Uzbekistan
We are a UAE-based trading company acting as a commercial bridge between Chinese manufacturers and international buyers. Our product portfolio includes padel courts, ball machines, sports equipment, and retractable metal roofing structures. Contracts and invoices are handled through our UAE entity; goods ship directly from China to the end customer worldwide.
Our sales team operates from Tashkent and works with buyers across Central Asia, the Middle East, and beyond.
The Role
You will be the primary commercial driver in our Tashkent office — identifying buyers, building relationships, and closing deals on high-value B2B equipment.
This is not an account management role. We need someone who can open doors.
What You’ll Do
• Prospect and develop new clients: sports clubs, hotels, resorts, developers, distributors, and construction companies
• Manage the full sales cycle: outreach → qualification → proposal → negotiation → close
• Prepare commercial offers and coordinate with the UAE office on pricing and contracts
• Follow up on leads generated through inbound channels and trade directories
• Track pipeline and report weekly on activity and forecasted deals
•. Manage daily pipeline tasks and execute timely prospect follow-ups
• Represent the company at relevant industry events and trade shows when needed
Requirements
• 2–5 years of B2B sales experience — equipment, construction, sports infrastructure, or import/trading preferred
• Proven track record of closing deals, not just generating leads
• Strong negotiation skills and commercial instinct
• Comfortable working with international clients and cross-border logistics realities
• Languages: Russian and/or Uzbek required; English is a strong advantage
• Self-starter — this role has autonomy and expects results without hand-holding
Nice to Have
• Existing network in sports facility development, hospitality, or construction
• Experience working with Chinese-sourced products or import/export deals
• Familiarity with CRM tools
Benefits
• Base salary + uncapped commission on closed deals
• Work from a growing company with a lean, international team
• Real ownership over your pipeline and results
• Opportunity to grow with the business as the Tashkent office expands
Location: Milan
Workplace: Hybrid
Your opportunity:
Since 2004, we've had one clear goal: to make payments and money management effortless for every business in Europe.
Today, more than 250,000 companies use Mollie to get paid, manage money and grow, with products designed to be simple, scalable, and dependable.
With 950+ Mollies across 14+ locations, we care deeply about autonomy and craft. So we work in small teams, with real ownership, and we trust you to make the right decisions.
We're building for the long term, so we provide the tools you need, processes you can rely on, and a balanced work environment to help you do work you're proud of.
Sound like your kind of place? Let's build together.
As a hands-on Engineering Manager, you'll lead a team of skilled engineers in defining and delivering the technical roadmap for our products. Collaborating with cross-functional teams, you'll help shape product strategy and direction, while representing engineering in key technical discussions. Your work will directly influence product quality, scalability, and innovation, playing a critical role in our overall success.
What you'll be doing:
- Lead a growing team of application engineers, with a hands-on leadership approach expected from all engineering managers
- Bring strong technical expertise and a proven track record in large-scale distributed systems and/or guiding teams through complex technical transitions
- Drive strategic technical decisions in collaboration with cross-functional teams, and lead cross-domain technical initiatives that align with overall business and product goals
- Identify improvements within the team, propose actionable solutions, and coordinate efforts to improve team velocity and effectiveness
- Help shape the broader domain vision, influence strategic direction, and set goals for ongoing product improvement
- Balance hands-on engineering with big picture thinking, taking pride in mentoring and developing high performing teams
- Maintain a results driven mindset focused on delivering impact at scale and speed
What you have:
- Management Experience: Preferably 2+ years of managing multidisciplinary teams, with a proven ability to recruit, retain, and grow top engineering talent.
- Leadership Skills: Demonstrated ability to lead, coach, and mentor engineering teams. Excellent communication, interpersonal, and collaboration skills. You are a great active listener.
- Engineering Excellence: Significant hands-on experience in various contexts, building scalable, robust, and fault-tolerant systems and full-stack products, preferably on the JVM or PHP stacks.
- Product Sense: A strong understanding of product development principles and a customer-centric approach.
- Bias Towards Action: Balance speed and quality, make quick decisions, and learn from mistakes.
- Problem-Solving Ability: Strong analytical and problem-solving skills, with a passion for finding creative solutions to complex challenges.
- Passion and Energy: Demonstrate ownership and enthusiasm, seeing new tasks as opportunities to contribute and grow.
- Always Be Shipping Mindset: It’s about consistently delivering value to customers, where speed and quality go hand in hand.
*Kindly note relocation support is not offered for this position unfortunately.
Location: United States + International (Remote)
GiveWell’s mission is to help people in need as much as we can by researching the most cost‑effective ways to save and improve lives, sharing our work openly, and directing donations to the programs we believe will do the most good. Our work, which focuses on global health and well-being, is funded by tens of thousands of donors who rely on our research to inform their giving. We’ve grown from directing $1.5 million in 2010 to directing more than $400 million in 2025. We anticipate our total grantmaking is likely to approach or even exceed $1 billion this year, and we are working toward a future that could be several times that scale. Through years of deliberate groundwork, we’ve been growing our research capacity and scope in order to direct substantially more funding to the most impactful opportunities we can find.
Update: We will stop accepting new applications for this role on November 26, 2026.
Summary
GiveWell is seeking a Senior New Areas Researcher to help direct tens of millions of dollars annually to the most cost-effective interventions we can find. You will have an outsized influence on our funding decisions and help us save and improve lives on a global scale.
The New Areas team grantmaking is divided into three workstreams: i) our core cause areas: areas for which we devote a significant amount of time developing subject-matter specific expertise and networks, a thorough research agenda, and a large portfolio of grants (e.g., family planning, maternal and newborn health, tuberculosis and HIV); ii) our emerging cause areas: a broader set of cause areas for which the New Areas team is starting to build its expertise, networks and research agenda, and is making some initial grants (e.g., medical oxygen, applications of AI to global health); and iii) our incubators: supporting the
Clinton Health Access Initiative’s Incubator
and
Evidence Action’s Accelerator
to identify potentially cost-effective interventions and create programs that we would be excited to support in the future.
As a Senior New Areas Researcher, you'll create and lead ambitious research agendas related to our portfolios of work and answer complex questions that will inform GiveWell's grantmaking decisions. The researchers on our team combine rigorous evidence review, cost-effectiveness modeling, and thoughtful judgment.
We're open to a wide variety of professional development pathways depending on your preferences and our needs.
The role
You will be joining a small grantmaking team to contribute to our ambitious research agenda on new areas. You'll sift through the countless questions we could try to answer, and hone in on those that matter most. You'll also communicate externally about your work and mentor and advise other researchers on the team.
You will shape a research agenda that brings rigor and creativity to the thorniest questions the GiveWell new areas team faces. Your work will combine empirical evidence review and critical synthesis, cost-effectiveness modeling, discussions with subject matter experts, understanding of the broader context, and your own judgment.
What you might work on in your first year:
Tackle thorny research questions in our existing portfolios.
For example: to what extent could programs which distribute oral rehydration solution to reduce diarrheal deaths inadvertently induce exclusively breastfed children to consume poor quality water? How can we estimate the risk of reinfection after a child has completed a course of tuberculosis preventive treatment? How can we account for these concerns in our cost-effectiveness estimates?
Design and oversee learning grants.
You'll help design impact evaluations for new and existing programs, and supervise researchers executing that work — from scoping the research question through to interpreting results and integrating them into our models.
Build our evidence base in new programmatic areas.
This includes synthesising existing research, commissioning new reviews, and in some cases funding primary data collection — with the goal of determining whether a new intervention meets GiveWell's cost-effectiveness bar and is ready for major grantmaking.
Provide research support to grantmakers.
You'll ensure our cost-effectiveness models reflect our best current understanding of the programs we fund — stress-testing assumptions, incorporating new data, and flagging where uncertainty is high enough to warrant further investigation.
The Senior New Areas Researcher will help shape a major annual grantmaking portfolio, own grant investigations end-to-end (from research question through grant recommendation), and represent GiveWell to external counterparts. You'll have significant latitude to propose new areas of work.
Team structure
Our research department has ~70 people, and is currently organized into eight teams:
Five of the teams (Livelihoods, Malaria, Nutrition, Vaccination, and Water) focus on specific areas of grantmaking.
The New Areas team focuses on interventions in domains that are new to GiveWell.
The Cross-Cutting team focuses on methodological issues, research quality, and other big-picture concerns that cut across all of our research work.
The Commons team provides generalized research support to each of the other teams, including landscaping research, vetting, and publishing.
Team values
We think our research team has unique qualities:
We care deeply and centrally about finding and sharing truth.
Truth-seeking is one of our
core values
. We post
our mistakes
and we prize our team members who keep our culture of free-flowing feedback strong.
We are independent.
We focus 100% on finding the most cost-effective opportunities to save and improve lives. Our researchers assist in communicating our research findings to the public and our donors, and on occasion we provide tailored advice to ultra-high-net-worth donors who want to rely on our expertise to direct their giving—but we never ask our researchers to trade off against honesty, or to hide their real beliefs.
We don’t waste time.
Once it’s clear that a particular research question is unlikely to change our bottom-line funding recommendation, we drop it as quickly as possible. We encourage our research staff to constantly re-evaluate their portfolios and only work on the highest-priority questions.
Lean research team = huge personal impact.
In 2026,
our research team of ~80 people is directing close to 1 billion dollars and we expect grantmaking dollars per research team member to increase in the future.
We work well together.
Our research team is lean because we’re able to attract top-tier people, all of whom complete skills-based assessments before joining our staff. We maintain a high-performing, collegial culture and pay our staff accordingly.
About you
We expect the Senior New Areas Researcher to have
A quantitatively oriented advanced degree (e.g., in epidemiology, public health, economics, or a related field).
Substantial professional experience in global health, or an adjacent field (broadly defined). This could include direct experience with program design, monitoring, or evaluation; epidemiology; cost-effectiveness modelling of health interventions; or work in program implementation or funding at a bilateral, multilateral, or NGO. We're especially interested in candidates who enjoy being generalists: you are able to get up to speed quickly on new topics and you feel comfortable task-switching.
We expect that people with the soft qualities below will be the most successful and happy on our team. This isn’t a full list, but hopefully it conveys the gist of our team’s professional personality:
GiveWell’s mission and methods are personally energizing—you like our approach to research and you find personal meaning in our story of impact.
You’re abnormally curious—you ask lots of questions, and you’re willing to interrogate others’ work. Your curiosity also extends to your own work—you aren’t defensive when your research comes under scrutiny.
You routinely think about and surface the value judgments, background knowledge, and strategic commitments that undergird your work. You understand the potential effects of mistaken mental models, so you strive to improve yours and your team’s.
You dislike it when people express strong confidence in views that don’t seem to rely on commensurate evidence. You carefully and legibly communicate about your confidence levels.
You appreciate the value of an excellent reputation and strong relationships. You can moderate your directness and intensity when you’re communicating with external folks.
You love a
gnarly problem
. You figure out the most important questions to answer, go deep on the details where they matter (and move on where they don’t), and reassess your mental models based on what you’ve learned.
You constantly assess whether you and the team are working on the most important things.
If you’re interested in working on GiveWell’s research team but don’t have new areas expertise, consider applying to our generalist
Senior Researcher
role, or our Researcher role if you have limited post-graduation experience.
The details
Compensation:
We set salaries using a location-based tier system. Our pay for this role:
NYC or the San Francisco Bay Area: $308,000.
All other U.S. locations: $280,000
International: Similar to the “all other U.S. locations” salary, based on historical exchange rates and delivered in locally-denominated currency. We can share a precise figure upon request after the first work trial stage.
Benefits:
Our
benefits
include:
Fully funded health, dental, vision, and life insurance (we cover 100% of premiums within the US for you and any dependents)
Four weeks of paid time off per year, plus a one week organization-wide summer break
16 weeks of fully paid parental leave
Ergonomic home workstations or coworking space memberships
Automatic contribution equal to 5% of your gross salary into your 403(b) retirement plan (for U.S. based staff)
Countries we can hire from:
GiveWell is a remote-first organization. However, for the time being, we can only hire within a select number of countries (US, UK, Canada, Switzerland, and Germany). To be considered for a role with GiveWell, you need to already be based in one of those countries or be willing to move to one of them. We expect to expand the list of locations where we can hire over the course of 2027, and our job descriptions always reflect the current status — so we'd encourage you to check back and apply again for a role you're eligible for.
Visa sponsorship:
The US is the only country where visa sponsorship is possible for a number of roles, and it's assessed on a case by case basis. For all other countries, you need to already have work authorization, we cannot sponsor visas.
Why we work this way:
Focusing on countries where we already have tested onboarding processes lets us move candidates through hiring faster and with fewer surprises. Every additional country brings its own labor laws, EOR requirements, and new processes to work through, which slows things down for hiring teams and new colleagues alike. Concentrating our footprint keeps the experience consistent and supports GiveWell’s wider absorption capacity goals.
Flexibility:
We support and encourage flexible working, including flexible hours, working remotely, and working from the office when you choose. The majority of our staff, including senior management, work flexibly in one way or another.
Travel:
Research team members are sometimes required to attend international site visits and conferences (on average 1-2 per year), with additional travel for those interested in traveling more. Additionally, we strongly encourage staff members to attend quarterly whole-org and department retreats to bond with other team members and complete in-person work. We'll discuss travel obligations in more detail during late stages of the hiring process, and we’ll accommodate staff who have conflicting family or other obligations.
Start date:
We’d like a candidate to start as soon as possible after receiving an offer, but we’ll offer flexibility for candidates whose personal or professional circumstances require them to moderately delay their start date.
Miscellaneous details:
Please apply to only one Senior Researcher posting. If you have deep expertise in this area, this pod-specific role is the right fit. If not, there's no need to apply here — our generalist Senior Researcher role is designed for strong researchers who don't have a single specialization, and you don't need to apply to both. Applying to the generalist role won't put you at any disadvantage!
After application review, our hiring process consists of a short application exercise and up to 15 hours of compensated work trials. You can see more details about our hiring process on our
FAQs page
!
We devote significant staff capacity to initial application review, and we respond to all applications as quickly as possible.
We have a strong preference for full-time applicants, but we’ll consider applications for part-time work. We aren’t interested in reviewing applications for contract or project-based work at this time.
You don't need to submit a cover letter—we rely mainly on your resume and answers to the application questions below when we're making early decisions.
About GiveWell
GiveWell is dedicated to finding and evaluating highly cost-effective global health and development opportunities, and we publish the work, reasoning, and uncertainties behind our funding decisions. Our
giving funds
enable donors to contribute to the most impactful and cost-effective programs our researchers identify.
GiveWell is one of the world’s largest private funders of global development efforts. Trusted annually by tens of thousands of donors, GiveWell searches for highly cost-effective programs that save or improve lives the most. Since 2007, more than 160,000 donors have given over $3.5 billion through GiveWell to the most promising programs its research has identified, which we estimate will save more than
430,000 lives
.
GiveWell is most well-known for recommending a small number of
Top Charities
, which currently support
seasonal malaria chemoprevention
,
insecticide-treated nets
,
vaccine incentivization
, and
vitamin A supplementation
. However, most of our research capacity and grantmaking is devoted to
cost-effective opportunities outside of those programs
.
GiveWell
grants
have:
Helped governments
navigate changes to the funding landscape
and implement high-impact health programs, like
HIV/syphilis screening and treatment
for pregnant people in Zambia and Cameroon.
Sought to scope and scale promising interventions that don’t have clear existing implementers. We are supporting the
Clinton Health Access Initiative’s Incubator
to identify potentially cost-effective interventions and create programs that we would be excited to support in the future. For example, we
funded a program
to prevent tuberculosis among young children in Uttar Pradesh and Bihar, India, that we co-designed with CHAI through the Incubator program.
Provided funding to ensure that programs that recently faced foreign aid funding cuts could continue, like
healthcare support and malnutrition treatment
in northern Cameroon.
Funded program delivery alongside strengthened monitoring and evaluation, as in our grants to support
treatment of clubfoot
and to
evaluate the program
.
Tested our
assumptions and refined our understanding
through further research and data collection, including
improved estimates of disease burden
and studies on
the effect of water chlorination on mortality
and
the impact of a tree-planting program on farmers’ income
.
We make our reasoning public and transparent so others can challenge it (sometimes we even
pay people to point out our errors
). We go to unusual lengths to check our assumptions and assess our impact, including
funding research
to address our uncertainties and gathering
independent monitoring and evaluation data
about the programs we support. We
change
our minds when the evidence demands it. For more about GiveWell, listen to Ezra Klein’s
interview
with GiveWell’s co-founder and CEO Elie Hassenfeld.
Additional information
We don’t want to miss candidates that could do great things at GiveWell. Practically, that means a GiveWell staff member reviews every application carefully, considering the whole picture of your background and potential. If you’re on the fence about applying because you meet some but not 100% of our preferred qualifications (some studies suggest this hesitation is especially common for women and people of color), we encourage you to apply anyway.
GiveWell is an Equal Employment Opportunity employer by choice. At minimum, this means that we comply with all federal, state, and local EEO and employment laws. Beyond the requirements of those laws, we value our team’s diversity in all respects, and we desire to maintain a work environment free of harassment or discrimination—we want our team members to thrive at GiveWell. If you need assistance or an accommodation due to a disability, contact us at careers@givewell.org. We will consider employment for qualified applicants with arrest and conviction records.
By submitting an application, you acknowledge that you have read and consent to GiveWell’s
Privacy Statement for Applicants
. By completing an application exercise, you acknowledge and assent to
GiveWell’s Work Trial Policy
.
Location: United States + International (Remote)
GiveWell’s mission is to help people in need as much as we can by researching the most cost‑effective ways to save and improve lives, sharing our work openly, and directing donations to the programs we believe will do the most good. Our work, which focuses on global health and well-being, is funded by tens of thousands of donors who rely on our research to inform their giving. We’ve grown from directing $1.5 million in 2010 to directing more than $400 million in 2025. We anticipate our total grantmaking is likely to approach or even exceed $1 billion this year, and we are working toward a future that could be several times that scale. Through years of deliberate groundwork, we’ve been growing our research capacity and scope in order to direct substantially more funding to the most impactful opportunities we can find.
Update: We will stop accepting new applications for this role on November 26, 2026.
Summary
GiveWell is seeking a Senior Nutrition Researcher to help direct tens of millions of dollars annually to the most cost-effective nutrition interventions we can find. You will have an outsized influence on our funding decisions and help us save and improve lives on a global scale.
Our nutrition grantmaking currently spans three sub-portfolios: Vitamin A Supplementation (VAS), iron supplementation (including iron and folic acid supplementation and large-scale food fortification), and treatment of acute malnutrition (CMAM/wasting treatment). In 2025, we directed $95 million to implementers across these areas, operating primarily in Sub-Saharan Africa and South Asia. We are actively deepening our work across all three areas, by scrutinising program coverage and quality, strengthening our cost-effectiveness models, considering different delivery platforms, and expanding our grantmaking to new geographies. We are also exploring opportunities to expand our grantmaking into interventions adjacent to our existing portfolios, as well as approaches and programs that are entirely new to GiveWell, where the evidence and cost-effectiveness case is compelling.
As a Senior Nutrition Researcher, you'll create and lead ambitious research agendas related to our portfolios of work and answer complex questions that will inform GiveWell's grantmaking decisions. The researchers on our team combine rigorous evidence review, cost-effectiveness modeling, and thoughtful judgment.
We're open to a wide variety of professional development pathways depending on your preferences and our needs.
The role
You will be joining a small grantmaking team to contribute to our ambitious research agenda on nutrition. You'll sift through the countless questions we could try to answer, and hone in on those that matter most. You'll also communicate externally about your work and mentor and advise other researchers on the team.
You will shape a research agenda that brings rigor and creativity to the thorniest questions the GiveWell nutrition team faces. Your work will combine empirical evidence review and critical synthesis, cost-effectiveness modeling, discussions with subject matter experts, understanding of the broader context, and your own judgment.
What you might work on in your first year:
Tackle thorny research questions in our existing portfolios.
For example: how should we calibrate our cost-effectiveness estimates to real-world program performance? How do we better understand coverage gaps and program quality across VAS, iron supplementation, and CMAM programs? How can we strengthen the evidence on the impact of VAS and CMAM in modern contexts, when many key trials are decades old but it would be unethical to withhold standard of care in new trials?
Design and oversee learning grants.
You'll help design impact evaluations for new and existing programs, and supervise researchers executing that work — from scoping the research question through to interpreting results and integrating them into our models.
Build our evidence base in new programmatic areas.
This includes synthesising existing research, commissioning new research, and in some cases funding primary data collection — with the goal of determining whether a new intervention meets GiveWell's cost-effectiveness bar and is ready for major grantmaking.
Provide research support to grantmakers.
You'll ensure our cost-effectiveness models reflect our best current understanding of the programs we fund, by stress-testing assumptions, incorporating new data, and flagging where uncertainty is high enough to warrant further investigation.
The Senior Nutrition Researcher will help shape a major annual grantmaking portfolio, own grant investigations end-to-end (from research question through grant recommendation), and represent GiveWell to external counterparts. You'll have significant latitude to propose new areas of work.
Team structure
Our research department is currently organized into eight teams:
Five of the teams (Livelihoods, Malaria, Nutrition, Vaccination, and Water) focus on specific areas of grantmaking.
The New Areas team focuses on interventions in domains that are new to GiveWell.
The Cross-Cutting team focuses on methodological issues, research quality, and other big-picture concerns that cut across all of our research work.
The Commons team provides generalized research support to each of the other teams, including landscaping research, vetting, and publishing.
Team values
We think our research team has unique qualities:
We care deeply and centrally about finding and sharing truth.
Truth-seeking is one of our
core values
. We post
our mistakes
and we prize our team members who keep our culture of free-flowing feedback strong.
We are independent.
We focus 100% on finding the most cost-effective opportunities to save and improve lives. Our researchers assist in communicating our research findings to the public and our donors, and on occasion we provide tailored advice to ultra-high-net-worth donors who want to rely on our expertise to direct their giving—but we never ask our researchers to trade off against honesty, or to hide their real beliefs.
We don’t waste time.
Once it’s clear that a particular research question is unlikely to change our bottom-line funding recommendation, we drop it as quickly as possible. We encourage our research staff to constantly re-evaluate their portfolios and only work on the highest-priority questions.
Lean research team = huge personal impact.
In 2026,
our research team of ~80 people is directing close to 1 billion dollars and we expect grantmaking dollars per research team member to increase in the future.
We work well together.
Our research team is lean because we’re able to attract top-tier people, all of whom complete skills-based assessments before joining our staff. We maintain a high-performing, collegial culture and pay our staff accordingly.
About you
We expect the Senior Nutrition Researcher to have:
A quantitatively oriented advanced degree (e.g., in epidemiology, statistics, economics, public health, nutrition or related fields)
Substantial professional experience relevant to nutrition. We interpret this broadly:
The majority of our work to date has been nutrition programming delivered through the health sector, but we are also interested in other sectors (e.g. agriculture/food systems) that directly affect nutrition outcomes.
Relevant professional experience could include: research roles (e.g. clinical nutrition research; epidemiological or health economics modeling), program roles (e.g. design and implementation, or monitoring and evaluation); funding roles (e.g. grantmaking or impact investing); or other roles in public sector, private sector or non-profit organizations that save and improve lives by addressing malnutrition.
We expect that people with the soft qualities below will be the most successful and happy on our team. This isn’t a full list, but hopefully it conveys the gist of our team’s professional personality:
GiveWell’s mission and methods are personally energizing—you like our approach to research and you find personal meaning in our story of impact.
You’re abnormally curious—you ask lots of questions, and you’re willing to interrogate others’ work. Your curiosity also extends to your own work—you aren’t defensive when your research comes under scrutiny.
You routinely think about and surface the value judgments, background knowledge, and strategic commitments that undergird your work. You understand the potential effects of mistaken mental models, so you strive to improve yours and your team’s.
You dislike it when people express strong confidence in views that don’t seem to rely on commensurate evidence. You carefully and legibly communicate about your confidence levels.
You appreciate the value of an excellent reputation and strong relationships. You can moderate your directness and intensity when you’re communicating with external folks.
You love a
gnarly problem
. You figure out the most important questions to answer, go deep on the details where they matter (and move on where they don’t), and reassess your mental models based on what you’ve learned.
You constantly assess whether you and the team are working on the most important things.
If you’re interested in working on GiveWell’s research team but don’t have nutrition expertise, consider applying to our generalist
Senior Researcher
role, or our Researcher role if you have limited post-graduation experience.
The details
Compensation:
We set salaries using a location-based tier system. Our pay for this role:
NYC or the San Francisco Bay Area: $308,000.
All other U.S. locations: $280,000
International: Similar to the “all other U.S. locations” salary, based on historical exchange rates and delivered in locally-denominated currency. We can share a precise figure upon request after the first work trial stage.
Benefits:
Our
benefits
include:
Fully funded health, dental, vision, and life insurance (we cover 100% of premiums within the US for you and any dependents)
Four weeks of paid time off per year, plus a one week organization-wide summer break
16 weeks of fully paid parental leave
Ergonomic home workstations or coworking space memberships
Automatic contribution equal to 5% of your gross salary into your 403(b) retirement plan (for U.S. based staff)
Countries we can hire from:
GiveWell is a remote-first organization. However, for the time being, we can only hire within a select number of countries (US, UK, Canada, Switzerland, and Germany). To be considered for a role with GiveWell, you need to already be based in one of those countries or be willing to move to one of them. We expect to expand the list of locations where we can hire over the course of 2027, and our job descriptions always reflect the current status — so we'd encourage you to check back and apply again for a role you're eligible for.
Visa sponsorship:
The US is the only country where visa sponsorship is possible for a number of roles, and it's assessed on a case by case basis. For all other countries, you need to already have work authorization, we cannot sponsor visas.
Why we work this way:
Focusing on countries where we already have tested onboarding processes lets us move candidates through hiring faster and with fewer surprises. Every additional country brings its own labor laws, EOR requirements, and new processes to work through, which slows things down for hiring teams and new colleagues alike. Concentrating our footprint keeps the experience consistent and supports GiveWell’s wider absorption capacity goals.
Flexibility:
We support and encourage flexible working, including flexible hours, working remotely, and working from the office when you choose. The majority of our staff, including senior management, work flexibly in one way or another.
Travel:
Research team members are sometimes required to attend international site visits and conferences (on average 1-2 per year), with additional travel for those interested in traveling more. Additionally, we strongly encourage staff members to attend quarterly whole-org and department retreats to bond with other team members and complete in-person work. We'll discuss travel obligations in more detail during late stages of the hiring process, and we’ll accommodate staff who have conflicting family or other obligations.
Start date:
We’d like a candidate to start as soon as possible after receiving an offer, but we’ll offer flexibility for candidates whose personal or professional circumstances require them to moderately delay their start date.
Miscellaneous details:
Please apply to only one Senior Researcher posting. If you have deep expertise in this area, this pod-specific role is the right fit. If not, there's no need to apply here — our generalist Senior Researcher role is designed for strong researchers who don't have a single specialization, and you don't need to apply to both. Applying to the generalist role won't put you at any disadvantage!
After application review, our hiring process consists of a short application exercise and up to 15 hours of compensated work trials. You can see more details about our hiring process on our
FAQs page
!
We devote significant staff capacity to initial application review, and we respond to all applications as quickly as possible.
We have a strong preference for full-time applicants, but we’ll consider applications for part-time work. We aren’t interested in reviewing applications for contract or project-based work at this time.
You don't need to submit a cover letter—we rely mainly on your resume and answers to the application questions below when we're making early decisions.
About GiveWell
GiveWell is dedicated to finding and evaluating highly cost-effective global health and development opportunities, and we publish the work, reasoning, and uncertainties behind our funding decisions. Our
giving funds
enable donors to contribute to the most impactful and cost-effective programs our researchers identify.
GiveWell is one of the world’s largest private funders of global development efforts. Trusted annually by tens of thousands of donors, GiveWell searches for highly cost-effective programs that save or improve lives the most. Since 2007, more than 160,000 donors have given over $3.5 billion through GiveWell to the most promising programs its research has identified, which we estimate will save more than
430,000 lives
.
GiveWell is most well-known for recommending a small number of
Top Charities
, which currently support
seasonal malaria chemoprevention
,
insecticide-treated nets
,
vaccine incentivization
, and
vitamin A supplementation
. However, most of our research capacity and grantmaking is devoted to
cost-effective opportunities outside of those programs
.
GiveWell
grants
have:
Helped governments
navigate changes to the funding landscape
and implement high-impact health programs, like
HIV/syphilis screening and treatment
for pregnant people in Zambia and Cameroon.
Sought to scope and scale promising interventions that don’t have clear existing implementers. We are supporting the
Clinton Health Access Initiative’s Incubator
to identify potentially cost-effective interventions and create programs that we would be excited to support in the future. For example, we
funded a program
to prevent tuberculosis among young children in Uttar Pradesh and Bihar, India, that we co-designed with CHAI through the Incubator program.
Provided funding to ensure that programs that recently faced foreign aid funding cuts could continue, like
healthcare support and malnutrition treatment
in northern Cameroon.
Funded program delivery alongside strengthened monitoring and evaluation, as in our grants to support
treatment of clubfoot
and to
evaluate the program
.
Tested our
assumptions and refined our understanding
through further research and data collection, including
improved estimates of disease burden
and studies on
the effect of water chlorination on mortality
and
the impact of a tree-planting program on farmers’ income
.
We make our reasoning public and transparent so others can challenge it (sometimes we even
pay people to point out our errors
). We go to unusual lengths to check our assumptions and assess our impact, including
funding research
to address our uncertainties and gathering
independent monitoring and evaluation data
about the programs we support. We
change
our minds when the evidence demands it. For more about GiveWell, listen to Ezra Klein’s
interview
with GiveWell’s co-founder and CEO Elie Hassenfeld.
Additional information
We don’t want to miss candidates that could do great things at GiveWell. Practically, that means a GiveWell staff member reviews every application carefully, considering the whole picture of your background and potential. If you’re on the fence about applying because you meet some but not 100% of our preferred qualifications (some studies suggest this hesitation is especially common for women and people of color), we encourage you to apply anyway.
GiveWell is an Equal Employment Opportunity employer by choice. At minimum, this means that we comply with all federal, state, and local EEO and employment laws. Beyond the requirements of those laws, we value our team’s diversity in all respects, and we desire to maintain a work environment free of harassment or discrimination—we want our team members to thrive at GiveWell. If you need assistance or an accommodation due to a disability, contact us at careers@givewell.org. We will consider employment for qualified applicants with arrest and conviction records.
By submitting an application, you acknowledge that you have read and consent to GiveWell’s
Privacy Statement for Applicants
. By completing an application exercise, you acknowledge and assent to
GiveWell’s Work Trial Policy
.
Location: Argentina; Mexico
Workplace: remote
About Welocalize
Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.
Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com
Overview
The Senior Project Manager will be responsible for managing assigned accounts end-to-end, including project planning, execution, monitoring, delivery, and closure in line with Welocalize’s standard processes and tools. In addition, the Senior Project Manager will partner with the Operations Squad Lead to support large enterprise accounts.
This role will serve as the primary project-level contact for clients, building strong customer relationships while collaborating closely with Welocalize account directors and production teams to maximize delivery performance, client satisfaction, quality, and profitability.
The ideal candidate is a motivated and dependable professional with strong relationship-building skills across cross-functional teams. They should bring the adaptability, resilience, and energy needed to succeed in a fast-paced and evolving environment.
Main Duties
Lead and supervise global teams, including internal and external stakeholders, with responsibility for both direct and indirect reports.
Prepare, analyze, and implement project plans in alignment with Welocalize standards, including project initiation, workflow management, completion, status updates, invoice approvals, and client information maintenance.
Develop and manage detailed project schedules to ensure timely and efficient delivery.
Prepare project estimates and proposals for client review and approval.
Conduct risk assessments and implement strategic plans to minimize potential issues and ensure successful outcomes.
Oversee QA projects, including resource allocation, defect management, reporting, and overall quality performance.
Collaborate closely with cross-functional stakeholders to achieve project and client objectives.
Create and maintain process documentation as required.
Operate independently with moderate support, proactively identifying and escalating issues outside of scope in a timely manner.
Partner with production teams to drive continuous improvement in project delivery, efficiency, and profitability.
Build and maintain strong relationships with internal and external stakeholders, including colleagues across departments and vendors.
Develop trusted client relationships at the project level, achieving measurable success in customer satisfaction ratings.
Ensure clear, effective, and timely communication with all project stakeholders, including clients and production teams.
Maintain accuracy and timeliness of all financial systems data.
Prepare and deliver reporting, including weekly project status updates, budget-to-actual analysis, time management, and client/vendor-related issues.
Protect project profitability through effective margin management.
Plan, prepare, and lead quarterly business reviews with clients in face-to-face settings.
Requirements
Education Level: Master’s degree, or Bachelor’s degree with relevant industry experience in lieu of a Master’s degree.
Proven track record in Localization Project Management.
Experience working internationally or directly with global product development teams.
Experience within a technology-driven company or environment.
Demonstrated success managing large enterprise clients.
Proven ability to lead and deliver large-scale accounts and complex projects successfully.
Experience creating client-facing documentation, including Statements of Work (SOWs), proposals, process documentation, and post-project reviews.
Proven record of contributing to process improvements, operational initiatives, and new ideas.
Experience supporting new client sales cycles, including presentations, analysis, recommendations, and relationship development.
Strong experience managing financial budgets, reconciliations, and budget reporting.
Hands-on experience with CAT and TMS tools, ideally including Crowdin, Smartling, XTM, or Phrase.
Additional Skills
Job Reference: #LI-JC1
Location: San Francisco, CA, US
Workplace: Hybrid
Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance.
About this role:
Sensor Tower has a mission to measure the world’s digital economy. Our users rely on Sensor Tower to generate insights about the mobile app ecosystem; to identify new innovations, measure market trends, and analyze how the industry leaders have found success. As a technical product manager focused on our mobile intelligence offering, you will help develop new data products that empower our users to make higher-impact decisions.
You have meaningful professional experience working with data; you’ve developed APIs for an analytics product or held an analytics role at a digital product company, you’ve worked on an AdTech dashboard, or owned other complex products that analyze business data. You can define a data contract or integrate existing services with an MCP server. You have experience that’s relevant to Sensor Tower and our customers by working at a SaaS startup, in mobile, doing financial modeling, or in F2P gaming.
At Sensor Tower, you will own projects end-to-end. You will engage with product leadership to develop roadmaps, collaborate with our engineering team on execution, and partner with business and account leaders to better understand our customer’s needs. You are excited about the possibilities that AI unlocks in developing digital products and can talk about how you’ve categorized unstructured data, vibecoded rapid prototypes, or generated insights with AI. You are passionate about the space and can point to independent projects or notable successes in previous roles.
Salary range: 125,000 - 170,000 USD
What You Will Work On
- Interview customers, analyze feedback and analytics data to identify user needs and pain points.
- Propose new features and enhancements to solve user problems.
- Win buy-in for your proposals across Product, Engineering, Data Science and Business teams.
- Develop technical requirements.
- Partner with Data Science to define estimation methodologies, validate model outputs against ground truth, and ensure the 'explainability' of our metrics for enterprise clients.
- Daily collaboration with Engineering teams during development of new features.
- Communicate functional and business details of future releases with less technical teams including Marketing, Accounts, Success and Documentation.
What We Are Looking For
- 7-8 years of professional experience, preferably with SaaS company in data or in data roles at mobile or F2P gaming.
- Experience using AI in day-to-day operations or in shipping AI-native products.
- Familiarity with BI industry players like Snowflake, AWS, Databricks, Tableau, Amplitude, Mixpanel.
- Experience using data to drive decision making- you are comfortable making complex SQL queries against our analytics data.
- College degree in Business or Computer Science, Master’s preferred.
Fraud warning:
It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying.
To all recruitment agencies:
Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Munich
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs.
WHAT YOU'LL DO
- GTM technical expert: Design and demo Sierra’s incredible Agent product, offering technical solutions to solve for our customer’s needs, and answering technical questions about our solutions.
- Cross-functional work: You will work directly with our Sales, Product and Agent Engineering teams to both drive our GTM function, as well as continuously improve our Agents through our customer-driven product development philosophy.
- Lead & support our customers: As a GTM and technical leader in the earliest conversations with our future customers, you will both understand and anticipate their needs to continue our industry-leading AI solution.
WHAT YOU'LL BRING
- 5-7+ years experience in Sales Engineering, Solutions Engineering or customer-facing technical sales.
- Past experience in demo building, and presenting, and working with customers or clients in the GTM function.
- Experience in relationship-building with potential customers, including executives and technical leaders.
- Experience in leading the sales process with Enterprise customers.
- Ability to connect a prospect’s specific business problems and Sierra’s solutions and explain them to both a technical and non-technical audience
- Ability to leverage AI tools efficiently as a regular part of your technical sales motion — discovery prep, solution design, demo and prototype building, technical proposals. With that, you know where these tools can help and where human judgment still is required. Importantly, you own the accuracy of anything you put in front of a customer, whether or not AI helped you build it. This ownership looks like us not saying "[AI tool of choice] built this", but "I built this with [AI tool of choice]."
- Bachelor's Degree or above; bonus if in Computer Science or related field, or equivalent professional experience.
EVEN BETTER...
- Experience translating code, technical logic and user requirements to product and engineering requirements.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits
- Lunch, as well as delicious snacks and coffee to keep you energized when working onsite
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description.
Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy.
We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.
Location: Bangalore, India
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As a member of our AI research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio.
We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value.
Responsibilities
Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality.
Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and audio inputs.
Implement pruning techniques to remove redundant parameters and attention heads, reducing computational overhead without sacrificing task performance.
Analyze trade-offs between model efficiency (size, latency, memory) and accuracy across quantization, distillation, and pruning methods; propose improvements based on empirical findings.
Research and apply mixed-precision quantization and other advanced compression strategies (e.g., adaptive pruning schedules, distillation with intermediate feature matching) to optimize the accuracy–performance balance.
Stay current with the latest research in model compression, including emerging techniques for multimodal and generative architectures.
Document methodologies, experiments, and results clearly to support reproducibility, internal collaboration, and stakeholder communication.
Author technical papers and publish findings in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI) to advance the field of model compression for multimodal AI.
List the qualifications, certifications, and experience needed for the role. You can split this into mandatory and preferred sections if needed.
A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).
Experience with PyTorch deep learning frameworks or equivalent frameworks
Hands-on experience with model quantization including both Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ).
Research and hands-on experience with knowledge distillation for compressing large models into smaller, efficient ones.
Research and hands-on experience with model pruning for compressing large models into smaller, efficient ones.
Solid understanding of neural network architectures and training processes – Including transformers (e.g., LLMs, VLMs), backpropagation, optimization, and fine-tuning techniques.
Familiarity with C++ is a plus (especially for implementing low-level quantization kernels or inference optimizations).
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: Brussels, Belgium
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As a member of our AI research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio.
We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value.
Responsibilities
Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality.
Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and audio inputs.
Implement pruning techniques to remove redundant parameters and attention heads, reducing computational overhead without sacrificing task performance.
Analyze trade-offs between model efficiency (size, latency, memory) and accuracy across quantization, distillation, and pruning methods; propose improvements based on empirical findings.
Research and apply mixed-precision quantization and other advanced compression strategies (e.g., adaptive pruning schedules, distillation with intermediate feature matching) to optimize the accuracy–performance balance.
Stay current with the latest research in model compression, including emerging techniques for multimodal and generative architectures.
Document methodologies, experiments, and results clearly to support reproducibility, internal collaboration, and stakeholder communication.
Author technical papers and publish findings in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI) to advance the field of model compression for multimodal AI.
List the qualifications, certifications, and experience needed for the role. You can split this into mandatory and preferred sections if needed.
A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).
Experience with PyTorch deep learning frameworks or equivalent frameworks
Hands-on experience with model quantization including both Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ).
Research and hands-on experience with knowledge distillation for compressing large models into smaller, efficient ones.
Research and hands-on experience with model pruning for compressing large models into smaller, efficient ones.
Solid understanding of neural network architectures and training processes – Including transformers (e.g., LLMs, VLMs), backpropagation, optimization, and fine-tuning techniques.
Familiarity with C++ is a plus (especially for implementing low-level quantization kernels or inference optimizations).
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: Abu Dhabi, United Arab Emirates
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As a member of our AI research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio.
We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value.
Responsibilities
Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality.
Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and audio inputs.
Implement pruning techniques to remove redundant parameters and attention heads, reducing computational overhead without sacrificing task performance.
Analyze trade-offs between model efficiency (size, latency, memory) and accuracy across quantization, distillation, and pruning methods; propose improvements based on empirical findings.
Research and apply mixed-precision quantization and other advanced compression strategies (e.g., adaptive pruning schedules, distillation with intermediate feature matching) to optimize the accuracy–performance balance.
Stay current with the latest research in model compression, including emerging techniques for multimodal and generative architectures.
Document methodologies, experiments, and results clearly to support reproducibility, internal collaboration, and stakeholder communication.
Author technical papers and publish findings in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI) to advance the field of model compression for multimodal AI.
List the qualifications, certifications, and experience needed for the role. You can split this into mandatory and preferred sections if needed.
A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).
Experience with PyTorch deep learning frameworks or equivalent frameworks
Hands-on experience with model quantization including both Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ).
Research and hands-on experience with knowledge distillation for compressing large models into smaller, efficient ones.
Research and hands-on experience with model pruning for compressing large models into smaller, efficient ones.
Solid understanding of neural network architectures and training processes – Including transformers (e.g., LLMs, VLMs), backpropagation, optimization, and fine-tuning techniques.
Familiarity with C++ is a plus (especially for implementing low-level quantization kernels or inference optimizations).
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: Amsterdam, Netherlands
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As a member of our AI research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio.
We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value.
Responsibilities
Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality.
Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and audio inputs.
Implement pruning techniques to remove redundant parameters and attention heads, reducing computational overhead without sacrificing task performance.
Analyze trade-offs between model efficiency (size, latency, memory) and accuracy across quantization, distillation, and pruning methods; propose improvements based on empirical findings.
Research and apply mixed-precision quantization and other advanced compression strategies (e.g., adaptive pruning schedules, distillation with intermediate feature matching) to optimize the accuracy–performance balance.
Stay current with the latest research in model compression, including emerging techniques for multimodal and generative architectures.
Document methodologies, experiments, and results clearly to support reproducibility, internal collaboration, and stakeholder communication.
Author technical papers and publish findings in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI) to advance the field of model compression for multimodal AI.
List the qualifications, certifications, and experience needed for the role. You can split this into mandatory and preferred sections if needed.
A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).
Experience with PyTorch deep learning frameworks or equivalent frameworks
Hands-on experience with model quantization including both Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ).
Research and hands-on experience with knowledge distillation for compressing large models into smaller, efficient ones.
Research and hands-on experience with model pruning for compressing large models into smaller, efficient ones.
Solid understanding of neural network architectures and training processes – Including transformers (e.g., LLMs, VLMs), backpropagation, optimization, and fine-tuning techniques.
Familiarity with C++ is a plus (especially for implementing low-level quantization kernels or inference optimizations).
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: Barcelona, Spain
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As a member of our AI research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio.
We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value.
Responsibilities
Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality.
Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and audio inputs.
Implement pruning techniques to remove redundant parameters and attention heads, reducing computational overhead without sacrificing task performance.
Analyze trade-offs between model efficiency (size, latency, memory) and accuracy across quantization, distillation, and pruning methods; propose improvements based on empirical findings.
Research and apply mixed-precision quantization and other advanced compression strategies (e.g., adaptive pruning schedules, distillation with intermediate feature matching) to optimize the accuracy–performance balance.
Stay current with the latest research in model compression, including emerging techniques for multimodal and generative architectures.
Document methodologies, experiments, and results clearly to support reproducibility, internal collaboration, and stakeholder communication.
Author technical papers and publish findings in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI) to advance the field of model compression for multimodal AI.
List the qualifications, certifications, and experience needed for the role. You can split this into mandatory and preferred sections if needed.
A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).
Experience with PyTorch deep learning frameworks or equivalent frameworks
Hands-on experience with model quantization including both Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ).
Research and hands-on experience with knowledge distillation for compressing large models into smaller, efficient ones.
Research and hands-on experience with model pruning for compressing large models into smaller, efficient ones.
Solid understanding of neural network architectures and training processes – Including transformers (e.g., LLMs, VLMs), backpropagation, optimization, and fine-tuning techniques.
Familiarity with C++ is a plus (especially for implementing low-level quantization kernels or inference optimizations).
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: Sao Paulo, Brazil
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As a member of our AI research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio.
We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value.
Responsibilities
Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality.
Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and audio inputs.
Implement pruning techniques to remove redundant parameters and attention heads, reducing computational overhead without sacrificing task performance.
Analyze trade-offs between model efficiency (size, latency, memory) and accuracy across quantization, distillation, and pruning methods; propose improvements based on empirical findings.
Research and apply mixed-precision quantization and other advanced compression strategies (e.g., adaptive pruning schedules, distillation with intermediate feature matching) to optimize the accuracy–performance balance.
Stay current with the latest research in model compression, including emerging techniques for multimodal and generative architectures.
Document methodologies, experiments, and results clearly to support reproducibility, internal collaboration, and stakeholder communication.
Author technical papers and publish findings in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI) to advance the field of model compression for multimodal AI.
A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).
Experience with PyTorch deep learning frameworks or equivalent frameworks
Hands-on experience with model quantization including both Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ).
Research and hands-on experience with knowledge distillation for compressing large models into smaller, efficient ones.
Research and hands-on experience with model pruning for compressing large models into smaller, efficient ones.
Solid understanding of neural network architectures and training processes – Including transformers (e.g., LLMs, VLMs), backpropagation, optimization, and fine-tuning techniques.
Familiarity with C++ is a plus (especially for implementing low-level quantization kernels or inference optimizations).
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: Dublin, Ireland
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As a member of our AI research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio.
We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value.
Responsibilities
Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality.
Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and audio inputs.
Implement pruning techniques to remove redundant parameters and attention heads, reducing computational overhead without sacrificing task performance.
Analyze trade-offs between model efficiency (size, latency, memory) and accuracy across quantization, distillation, and pruning methods; propose improvements based on empirical findings.
Research and apply mixed-precision quantization and other advanced compression strategies (e.g., adaptive pruning schedules, distillation with intermediate feature matching) to optimize the accuracy–performance balance.
Stay current with the latest research in model compression, including emerging techniques for multimodal and generative architectures.
Document methodologies, experiments, and results clearly to support reproducibility, internal collaboration, and stakeholder communication.
Author technical papers and publish findings in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI) to advance the field of model compression for multimodal AI.
A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).
Experience with PyTorch deep learning frameworks or equivalent frameworks
Hands-on experience with model quantization including both Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ).
Research and hands-on experience with knowledge distillation for compressing large models into smaller, efficient ones.
Research and hands-on experience with model pruning for compressing large models into smaller, efficient ones.
Solid understanding of neural network architectures and training processes – Including transformers (e.g., LLMs, VLMs), backpropagation, optimization, and fine-tuning techniques.
Familiarity with C++ is a plus (especially for implementing low-level quantization kernels or inference optimizations).
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: Remote, AMER
Workplace: Remote
ABOUT SUPABASE
Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.
ABOUT THE ROLE
We're looking for an engineer to drive the evolution of OrioleDB https://www.orioledb.com and its collaboration with the upstream PostgreSQL community. OrioleDB is a next-generation storage engine for PostgreSQL, and this role sits at the intersection of database internals, open source community work, and Supabase's managed Postgres platform.
This role requires strong working overlap with Americas time zones due to production support and on-call responsibilities.
What you'll work on
- New OrioleDB features. Design and implement new capabilities in OrioleDB — for example, native index access methods (GiST, GIN, HNSW for pgvector), disaster recovery tooling, and other storage-engine-level features that expand what OrioleDB can do.
- Stability. Strengthen OrioleDB's reliability through deeper test coverage, fault injection, crash and recovery testing, and improvements to CI infrastructure. Ensure regressions are caught early and that OrioleDB behaves predictably under stress, replication, and failure scenarios.
- Upstream collaboration. Contribute changes directly to PostgreSQL core. Part of OrioleDB lives as a patch on top of PostgreSQL — moving the right pieces upstream shrinks what we maintain ourselves and benefits the wider community. This happens through PostgreSQL's open development process: the pgsql-hackers mailing list, public code review, and commitfests.
- Supabase integration. Work with Supabase's Postgres team to ensure OrioleDB fits naturally into Supabase's managed offering and roadmap.
YOU WILL:
- Design, implement, and test new OrioleDB features and integrate them cleanly with PostgreSQL's planner, executor, and surrounding subsystems.
- Build out and maintain test infrastructure: regression suites, fuzzing, randomized testing, crash and recovery testing, and CI pipelines.
- Identify and prepare patches suitable for upstreaming to PostgreSQL core.
- Improve performance, resilience, monitoring, and operational tooling for production use.
- Debug and resolve complex issues in low-level C code, including in storage, replication, indexing, and query execution paths.
- Participate in design discussions, architecture reviews, and code reviews — both inside Supabase and in the PostgreSQL community.
- Write clear technical documentation, design notes, and upstream proposals.
- Contribute to troubleshooting, analyzing, supporting and maintaining OrioleDB in production deployments. This can include answering support ticket requests, an on-call rotation, and supporting our team members in troubleshooting and fixing live customer production databases.
YOU ARE:
- An existing PostgreSQL core contributor or have equivalent experience in Database internals.
- An expert C programmer with 8+ years of production experience with focus on low-level systems programming
- Deeply familiar with PostgreSQL’s codebase, build system, and extension APIs.
- Have experience designing or implementing database storage engines, index structures, or query execution components.
- Comfortable contributing to community‑driven, upstream open source projects.
- Proficient in debugging and profiling complex C code in a database context.
- Able to write clear technical documentation and explain design trade‑offs.
- A strong communicator, committed to an open and collaborative development process.
WHAT WE OFFER
- Fully Remote
We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
- ESOP
Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
- Tech Allowance
Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
- Health Benefits
Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
- Annual Off-Sites
Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.
- Flexible Work
We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.
- Professional Development
Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
ABOUT THE TEAM
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.
- ~400 team members
- 60+ countries
- 20+ languages spoken
- Over $1B raised (including our $500M Series F)
- 540,000+ community members
We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
Location: London, United Kingdom
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As a member of our AI research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio.
We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value.
Responsibilities
Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality.
Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and audio inputs.
Implement pruning techniques to remove redundant parameters and attention heads, reducing computational overhead without sacrificing task performance.
Analyze trade-offs between model efficiency (size, latency, memory) and accuracy across quantization, distillation, and pruning methods; propose improvements based on empirical findings.
Research and apply mixed-precision quantization and other advanced compression strategies (e.g., adaptive pruning schedules, distillation with intermediate feature matching) to optimize the accuracy–performance balance.
Stay current with the latest research in model compression, including emerging techniques for multimodal and generative architectures.
Document methodologies, experiments, and results clearly to support reproducibility, internal collaboration, and stakeholder communication.
Author technical papers and publish findings in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI) to advance the field of model compression for multimodal AI.
A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).
Experience with PyTorch deep learning frameworks or equivalent frameworks
Hands-on experience with model quantization including both Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ).
Research and hands-on experience with knowledge distillation for compressing large models into smaller, efficient ones.
Research and hands-on experience with model pruning for compressing large models into smaller, efficient ones.
Solid understanding of neural network architectures and training processes – Including transformers (e.g., LLMs, VLMs), backpropagation, optimization, and fine-tuning techniques.
Familiarity with C++ is a plus (especially for implementing low-level quantization kernels or inference optimizations).
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: Dubai, United Arab Emirates
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As a member of our AI research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio.
We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value.
Responsibilities
Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality.
Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and audio inputs.
Implement pruning techniques to remove redundant parameters and attention heads, reducing computational overhead without sacrificing task performance.
Analyze trade-offs between model efficiency (size, latency, memory) and accuracy across quantization, distillation, and pruning methods; propose improvements based on empirical findings.
Research and apply mixed-precision quantization and other advanced compression strategies (e.g., adaptive pruning schedules, distillation with intermediate feature matching) to optimize the accuracy–performance balance.
Stay current with the latest research in model compression, including emerging techniques for multimodal and generative architectures.
Document methodologies, experiments, and results clearly to support reproducibility, internal collaboration, and stakeholder communication.
Author technical papers and publish findings in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI) to advance the field of model compression for multimodal AI.
A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).
Experience with PyTorch deep learning frameworks or equivalent frameworks
Hands-on experience with model quantization including both Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ).
Research and hands-on experience with knowledge distillation for compressing large models into smaller, efficient ones.
Research and hands-on experience with model pruning for compressing large models into smaller, efficient ones.
Solid understanding of neural network architectures and training processes – Including transformers (e.g., LLMs, VLMs), backpropagation, optimization, and fine-tuning techniques.
Familiarity with C++ is a plus (especially for implementing low-level quantization kernels or inference optimizations).
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
ГибридMilan; Kindly note relocation support is not offered for this position unfortunately
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
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