Location: Remote - Alabama
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.
Scope of the Role:
At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for a smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.
This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.
You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.
This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.
What You’ll Own:
Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.
Labeling elements of a piece of content rather than the content as a whole.
Assigning predefined categories or labels to items.
Evaluating the perceived quality and/or appropriateness of content
Generating labels to advance understanding of a concept, trend etc.
Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.
Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines.
Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content.
Ordering or ranking items based on a set of preferences or criteria.
Creating prompts or questions that will be used to generate responses from a language model or other AI system.
Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).
Generating responses to prompts or questions using a language model or other AI system.
Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.
Producing concise summaries of longer pieces of text or data.
Converting spoken language or audio content into written text.
Converting text or spoken language from one language to another.
Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.
You’ll Thrive in This Role If You Have:
A Bachelor’s degree or higher in a
humanities specialization
is required. Advanced degrees are strongly preferred (Master’s or PhD)
Professional or Expert level proficiency (C1/C2) in English
The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at
https://consumer.ftc.gov/articles/job-scams.
If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at
verifyjoboffer@innodata.com
and consider reporting it to the FTC at
ReportFraud.ftc.gov
.
Location: Tel Aviv-Yafo, Tel Aviv District, Israel
About Aidoc
Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year.
Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions.
Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need.
About this role
This is a leadership role within Aidoc’s core AI group, focused on building and evolving the AI-facing software systems that enable our algorithms to move from research into robust, production-ready components.
The AI Software team is responsible for developing the software layers, tooling, and core systems that support the development, execution, and operational readiness of AI models throughout their lifecycle. As a Team Lead, you will shape the team’s technical direction, guide execution, and remain deeply hands-on, contributing to architecture, implementation, and key technical decisions.
You will lead a scrum team, work closely with AI researchers and algorithm engineers, and collaborate with product and engineering partners. The role combines strong software engineering with AI context, in a culture where software quality is a core enabler of AI excellence, and technical leadership is grounded in ownership, clarity, and impact.
Responsibilities
Lead the team’s work on core software systems that sit at the intersection of algorithms and engineering, owning their design and implementation as part of the overall solution.
Guide and support team members’ growth, providing technical leadership, mentoring, and day-to-day coaching while fostering ownership and accountability.
Stay deeply hands-on in design and implementation, contributing code and solving complex software engineering problems where impact is highest.
Collaborate closely across teams, working with algorithm engineers, Product, and Engineering partners to define interfaces and align priorities.
Own project-level architecture and technical decisions, ensuring high-quality systems through sound design, code reviews, testing practices, and clear documentation.
Requirements
BSc or MSc in Computer Science, Engineering, or a related field.
At least 7 years of hands-on experience building complex software systems.
At least 3 years of experience as a team leader, actively contributing to design and code development.
Experience designing and building core software systems that are an integral part of algorithmic and AI-driven solutions.
Deep understanding of computer science fundamentals, including object-oriented design, performance optimization, and system complexity.
Strong ability to lead end-to-end development processes while remaining technically involved.
Strong communication and collaboration skills, with the ability to work effectively across teams.
A strong sense of ownership and accountability, leading by example and driving execution.
A collaborative leader who listens, values others’ input, and motivates team members.
Strong commitment to clean code, sound architecture, and high engineering standards.
Working at Aidoc
Our Perks:
Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives)
We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees.
Amazing and healthy breakfasts and lunches prepared daily by our personal chef!
Stocked up kitchen & meal card
Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes.
Amazing culture - collaborative, transparent & fun!
Attractive compensation package & benefits
Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.
Location: Tel Aviv-Yafo, Tel Aviv District, Israel
About Aidoc
Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year.
Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions.
Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need.
About this role
Building AI that delivers value in the real world takes more than an algorithm. It requires mastering the data layers the algorithms are trained and evaluated on, including the clinical nuances they carry. We are among the few companies paving the way for methodologies and architectural patterns that don't yet exist in this field.
That's the work of the AI Data Development Group, part of Aidoc's AI organization and the data analytics core of our algorithm development process. Our data development achievements sit at the heart of improvements in our AI accuracy and scalability.
Within the group, the Data-Dev analyst team is involved at every stage, from early data exploration to confirming an algorithm is ready to scale. We analyze data to inform algorithm design decisions, define the clinical ground truth and metrics behind the algorithms, and assess performance and robustness. Our analyses shape which approaches move forward, in close partnership with algorithm developers, product teams, clinical experts, and operational stakeholders.
Responsibilities
Own dataset development initiatives, building training and evaluation datasets grounded in clinical ground truth.
Translate product and algorithmic questions into defined metrics and data-driven recommendations.
Evaluate algorithm performance and robustness, and assess readiness to scale.
Drive exploratory analyses that inform algorithm design and development decisions, as well as product ideation, grounded in a deep understanding of clinical workflows and model behavior.
Partner with algorithm developers, product, clinical experts, and operational stakeholders to enable data-informed decisions across the algorithm lifecycle.
Bring state-of-the-art AI capabilities to the team, raising the standardization, efficiency, and quality of our deliverables.
Requirements
5+ years of hands-on data analysis or research experience at a SaaS or technology company.
Extensive experience analyzing complex, large-scale datasets with Python and SQL, alongside a proactive, technical approach to applying AI tools and LLMs in analysis and research workflows.
Proven ability to turn open-ended product, algorithmic, and stakeholder questions into structured analyses, metrics, and recommendations, moving fluidly between deep research and hands-on execution.
Strong ownership and self-management, with a track record of leading projects from problem definition through execution, and prioritizing multiple projects independently.
Excellent communication skills and experience working with stakeholders across Product, R&D, and clinical teams.
B.Sc. in Engineering or Exact Sciences; M.Sc. or Ph.D. is a major advantage.
Familiarity with machine learning algorithms and AI development is a major advantage; experience with medical or clinical data is a plus.
Passion for healthcare and for the potential of AI to improve clinical outcomes.
Working at Aidoc
Our Perks:
Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives)
We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees.
Amazing and healthy breakfasts and lunches prepared daily by our personal chef!
Stocked up kitchen & meal card
Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes.
Amazing culture - collaborative, transparent & fun!
Attractive compensation package & benefits
Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.
Location: Vancouver, BC
We are looking for a Software Engineer to join our Product team in Vancouver, where we build features end-to-end, from designing our data models to implementing the subtle interaction behaviours that differentiate good software from great software. In this role, you will be an integral part of the entire product development process from conception to post-launch reflection, manifesting continuous improvements to help us achieve our mission of enabling all teams to work together effortlessly. Partnering closely with Product Managers, Product Designers and supported by our infrastructure team, you will aim to delight users with both large new features and daily product enhancements through our continuous deployment architecture. Because this is an organization-wide search across our product teams, you will participate in a single, streamlined technical interview process, and we will work with you to match you to the ideal team at the end of your interview experience. If you care deeply about building products that improve how millions of teams work together, we would love to hear from you.
This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.
What you’ll achieve
Work in a high-performance, dynamic team with a strong focus on velocity and software quality.
Contribute to building a complex SaaS application that is a market leader in its segment.
Gain exposure to Asana’s core infrastructure, particularly how data is represented, stored, and deleted in the storage layer.
Work with asynchronous jobs and implement algorithms that efficiently traverse the Asana Work Graph.
Partner with legal to implement data ownership rules, requiring simple and effective technical solutions to make this process easy and clear to customers.
Drive large, impactful projects, delivering features that will be rolled out and used in large organizations.
Support and collaborate with other teams and stakeholders that work in the team’s space.
About you
3+ years of experience working within large, well-maintained codebases.
Excellent communication skills for collaborating with cross-functional partners (e.g., Product Management, Design).
Sound judgment when balancing development velocity with producing high-quality, maintainable code.
Passionate about creating a superlative user experience and highly attentive to details.
Appreciate productivity and care deeply about helping teams—including your own—collaborate more effectively and efficiently.
Excited to be a part of an inclusive culture where everyone brings the aspects of themselves to the workplace that they need to thrive.
Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.
At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.
What we’ll offer
Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.
For this role, the estimated base salary range is between $146,000 - $162,000 CAD. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.
In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.
We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:
Mental health, wellness & fitness benefits
Career coaching & support
Inclusive family building benefits
Long-term savings or retirement plans
In-office culinary options to cater to your dietary preferences
These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.
#LI-Hybrid #LI-HC1
About us
Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.
We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.
Join Asana’s Talent Network
to stay up to date on job opportunities and life at Asana.
Location: Ontario, Canada - Remote; Anywhere
About FirstPrinciples
At FirstPrinciples, we're building Theo, the AI platform for R&D teams. By bringing together an organization's data, the world's research, and their choice of AI models and tools, we're creating a unified platform designed for verifiable scientific work.
We're a small, ambitious team at an early stage of growth, tackling complex technical challenges and building something with the potential to meaningfully change how R&D teams work.
We're looking for people who thrive in fast-paced environments, take ownership, adapt quickly, and aren't afraid to experiment. You'll have the opportunity to make a meaningful impact, work closely with talented people across disciplines, and help shape both our technology and the company as we grow.
Key Responsibilities:
- Contribute to the design and coding of the AI Physicist, a closed-loop research engine, including the development of tools to support hypotheses generation, peer review, physics based simulations, validation against experimental data and self-revision, among other things.
- Write safe, testable code and set up automated unit tests to catch errors and apply lessons from recent research findings.
- Explore and integrate SOTA tools into existing platforms to enhance model capabilities. These tools can provide advanced analysis and insights, furthering the understanding of theoretical physics.
- Add self-improvement features that pass automated checks before deployment.
- Track runtime metrics and suggest optimizations that keep the project efficient and sustainable.
- Develop custom tech solutions tailored to the specific needs of researchers. This may include developing algorithms, data analysis tools, or other software to accelerate research in specific areas of theoretical physics.
- Apply knowledge of product development principles and practices to ensure that the tools developed are useful and effective for theoretical physicists worldwide.
- Collaborate with stakeholders to define requirements, prioritize features, and ensure successful delivery.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- Experience with common software architecture patterns and best practices.
- Proven experience with web development and API integrations is essential.
- Excellent programming skills are a must.
- Proficiency in gen AI tools and their applications (e.g., ChatGPT, AlphaCode, Claude) is necessary.
- Strong communication skills are crucial to articulate technical concepts to non-technical stakeholders.
- Ability to work independently and collaboratively in a fast-paced environment.
- Knowledge of theoretical physics or a strong interest in the field is a plus.
- Familiarity with cloud technologies and infrastructure is a plus.
- A passion for advancing knowledge and science advocacy is highly desirable.
Application Process:
- Interested candidates are invited to submit their resume, a cover letter detailing their qualifications and vision for the role, and references. Please include “Member of Technical Staff, Engineering" in the cover letter.
Join us at FirstPrinciples and be a part of a transformative journey where science drives progress and unlocks the potential of humanity.
Location: Remote (USA)
Workplace: remote
Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.
We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.
For more information, visit arcadia.io.
Why This Role Is Important to Arcadia
Arcadia's data platform powers population health analytics for health plans, ACOs, and provider groups across the country. As a Lead Analytics Engineer — Data Modeling & Quality, you sit at the intersection of data quality ownership and analytical data modeling. You'll own the SQL and DBT layer that transforms raw clinical and claims data into trusted, production-grade datasets, while also serving as the quality authority for the data those models produce.
This is a hybrid role — deeper SQL and DBT expertise than a traditional Data Health Professional, with a more analytical and model-focused scope than a Data Engineering role. You're less focused on pipeline infrastructure and more on the logic, shape, and trustworthiness of the data itself.
What Success Looks Like
In 3 months
Independently triage and resolve pipeline data quality issues
Author at least one new DBT model or refactor an existing one to meet current modeling standards
Understand the end-to-end pipeline from ingress through silver and gold, and be able to trace a data quality issue to its root layer
In 6 months
What You'll Be Doing
DATA MODELING & DBT DEVELOPMENT
Author, review, and maintain DBT models using Spark/Hudi from ingest through bronze and silver
Help clients understand their data model, assumptions, and limitations through intentional validation
Troubleshoot and fix issues, then write DBT tests to catch issues proactively
Optimize SQL performance for slow-running jobs
Partner with Data Engineering on table design, partition strategy, and incremental patterns
DATA QUALITY OWNERSHIP
Triage and classify data quality alerts, distinguishing source-level issues from transform-layer failures
Design and maintain volume monitors and DQ monitors (null rate, distribution, future-date checks)
Author and apply clinical DQ rules (entity volume, field coverage, LOINC coverage, referential integrity) and claims validation rules across silver and gold layers
Conduct quality reviews for connector promotions — evaluating silver entity coverage, validation rule pass rates, and bronze-to-silver transformation correctness
Own the ticket queue for DQ, attribution, hierarchy, and customer-specific data quality issues, writing clear customer-facing findings
CROSS-FUNCTIONAL QUALITY COLLABORATION
Lead data quality reviews during connector installation and promotion (UAT → PRD), including claims validation playbooks and null analysis
Partner with Data Engineering on root-cause triage for errors, ingress anomalies, and silver table issues surfaced through data quality monitoring
Coordinate with the Measure Implementation Team (MIT) when data quality issues affect quality measure scores
Contribute to and enforce data modeling standards across teams
TECHNOLOGIES
Data modeling: DBT-Spark, SQL, Claude
Warehousing: Amazon Redshift, Apache Hudi, AWS Athena
Data quality: volume/DQ monitors, DBT tests
Orchestration: Argo Workflows, Airflow
Source control: Git / GitHub, PR-based review workflows
Observability: Grafana, Jira
Healthcare data: Claims (plan/professional/pharmacy), EHR (clinical entities), MPI
What You'll Bring
Education:
Bachelor's or Master's degree in Computer Science, Statistics, Business, Economics, or a related field
Experience:
Advanced SQL: window functions, complex CTEs, aggregation patterns, performance tuning on columnar databases
DBT: hands-on experience authoring models, tests, macros, and yml documentation; familiarity with incremental strategies
Healthcare data literacy: working knowledge of claims data (professional, institutional, pharmacy), clinical data (EHR entities), and common quality dimensions (member months, coverage rates, null patterns)
Data quality mindset: ability to differentiate source data issues from transform issues, design systematic validation checks, and communicate data quality findings clearly
Skills:
Clear communicator — able to translate technical findings for clients and non-technical stakeholders
Strong analytical judgment — you can look at a distribution and know when something is wrong
Ability to manage several projects simultaneously, leveraging AI tooling to stay organized and efficient
Genuine desire to learn and apply AI tools for operational efficiency
Would Love For You To Have
Experience with Spark SQL and Hudi table format
Familiarity with data quality monitoring tools
Comfortable operating in an AI-first environment using Claude to build/verify various day-to-day workflows
Exposure to population health analytics concepts: HEDIS measures, risk adjustment, value-based care metrics
Python scripting for data investigation and automation
Experience with Argo Workflows or similar orchestration platforms
Healthcare data standards: ICD-10, CPT, NDC, LOINC, NPI
What You'll Get
Work alongside a talented team on some of the most complex and rewarding challenges in healthcare data
Flexible, fully remote work environment with the resources and support to do your best work
Exposure to senior leaders
Be on the front lines of AI adoption — use cutting-edge tools to accelerate your work and shape how the team operates in an AI-first environment
Make a meaningful impact on healthcare data operations by improving the quality, reliability, and trustworthiness of data that drives patient care decisions
Be a part of a mission driven company that is transforming the healthcare industry
Become a member of the talented, energized, diverse and purpose-driven Arcadian Community
About Arcadia
Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website.
Protect Yourself
If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website.
This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties. For any security-specific roles, the responsibilities would be further defined by the hiring manager.
Location: New York, NY
Who We Are:
Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America.
The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia.
Additional information about Galaxy's businesses and products is available on
www.galaxy.com
.
What We Value:
We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be.
Seek Excellence.
Be Selective To Be Effective.
Be Highly Aligned, Loosely Coupled.
Disagree Transparently.
Encourage Independent Decision-Making.
Build Dream Teams.
Who You Are:
We are looking for a talented Quantitative Trader to join our Onchain Trading team. This is a technically deep, high-ownership role at the intersection of algorithmic strategy, decentralized finance, and protocol-level market structure. You will contribute across the full trading lifecycle — from building risk infrastructure and designing strategies to managing protocol relationships and structuring liquidity agreements.
What You’ll Do:
Risk & Allocation
Build and maintain risk monitoring systems and capital allocation algorithms for our onchain curator program
Contribute to quantitative frameworks for position sizing, exposure management, and drawdown controls across DeFi protocols
Support real-time portfolio risk tracking across chains and venues
Strategy Design & Execution
Design and operate bespoke trading strategies across DeFi protocols, including AMMs, lending markets, perpetuals, and structured products
Identify and exploit structural inefficiencies in on-chain markets, liquidity pools, and token incentive mechanisms
Iterate on live strategies based on on-chain data, protocol changes, and market microstructure developments
Monitor deployed strategies and manage operational incidents across multiple blockchains
Liquidity Agreements
Assist in the design and negotiation of custom liquidity provision agreements with protocols, DAOs, and ecosystem funds
Support structuring of incentive arrangements, token agreements, and liquidity mining programs
Track performance against agreed terms and contribute to counterparty reporting
AI Implementation
Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes.
Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work.
What We’re Looking For:
2–5 years of experience in quantitative trading, systematic strategy research, or algorithmic development
Solid Python programming skills, with experience building data pipelines, backtests, or trading tools. Keen interest in exploring and working with new technologies
Deep contract-level knowledge of DeFi protocol mechanics — AMMs (Uniswap, Curve, Orca), lending markets (Aave, Morpho), and other protocols
Understanding of blockchain infrastructure and on-chain data
Degree in a quantitative field – Computer Science, Computer Engineering, Applied Mathematics, Physics, etc.
What We Offer:
Competitive base salary and discretionary bonus
Hybrid/Flexible Working Arrangements
Flexible Time Off (paid)
3% 401(k) company contribution
Company-paid health and protective benefits for employees, partners, and other dependents
Generous paid Parental Leave
Competitive family planning benefits for US employees
Opportunities to learn about the Crypto industry
Smart, entrepreneurial, and fun colleagues
Free daily snacks and weekly breakfasts/lunches
Employee Resource Groups
Free coaching and counseling sessions through Headspace
Apply now and join us as we grow the economy that runs on code.
The base salary ranges included below will be commensurate with candidate experience, expertise and local market. Final offer amounts are determined by multiple factors, including candidate experience and expertise. At Galaxy, we maintain a total compensation philosophy which consists of a competitive base salary, annual bonus, and equity incentives.
Base Salary Range
$150,000
—
$200,000 USD
Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances.
We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact
careers@galaxy.com.
Location: Worldwide
Location:
Remote
Role type:
Full-Time
Working with:
Ciaran Finn
&
Evan Carroll
(founders of
Linear Agency
)
What we expect
:
Example Video 1
,
Example Video 2
About the Role
We’re looking for an elite video editor to join Linear Agency Group and work directly with our founders,
Ciaran Finn
and
Evan Carroll
to craft world-class video content across YouTube, Instagram, LinkedIn, and other social platforms.
This role blends
high-production, studio-quality editing
with
native, raw social content
. You’ll be working with two of the fastest-growing personal brands in the performance marketing industry founders with a combined
60,000+ followers across platforms
, speakers at global events like Affiliate World (
see video here
), and operators behind one of the most recognised creative + growth agencies in the DTC space.
What You’ll Be Creating
This role is split across two content types:
1. High-Production, Talking to Camera Content for YouTube & Shorts
You will edit long-form and high-quality short-form studio shoots where founders speak directly to camera. This requires:
Clean, premium visual design
Strong animation and motion graphics
Excellent sense of pacing, storytelling, and retention hooks
A sharp aesthetic eye
Brand consistency and visual identity building
Examples of animation and and branding style and skill we expect:
https://www.instagram.com/p/DOqnvlQEy20/
https://www.instagram.com/p/DOqmCEQk_3F/
https://www.instagram.com/p/DNTXhutgmok/
https://www.instagram.com/p/DM8fvT-SG5K/
https://www.instagram.com/p/DOGwCLZjTqS/
https://www.instagram.com/p/DJ...
2. Native Social Content (Short-Form)
This includes quick, raw, “native” pieces that are designed for short-form:
Selfie-style videos
Fast-paced reframes to retain attention
Platform-native text, captions, cuts, zooms, memes
“Ugly but effective” short-form content that performs eg green screen and more
Examples of native content editing we expect:
https://www.instagram.com/p/DRw_OUzDfLo/
https://www.instagram.com/p/DRhla2YkbMl/
https://www.instagram.com/p/DRiyI0ADHh-/
https://www.instagram.com/p/DQCZBJpgJR3/
https://www.instagram.com/p/DPP7rD7jNWU/
You must be comfortable switching between polished studio edits and scrappy, high-volume social pieces.
What Makes This Role Exciting
Your work will be seen by tens of thousands of marketers, founders, and industry operators.
Ciaran, Evan, and the Linear team is famous in the industry for working with some of the fastest-growing 8-9 figure eCom brands in the world.
Our founders frequently speak on international stages and appear in major industry publications.
Massive opportunity to grow into a Lead Editor / Creative Director role as the content team expands.
You can leverage the founders’ brand names in your portfolio, catapulting your career credibility.
This is the role for an editor who wants to make a
name
for themselves - not just cut clips.
Responsibilities
Edit long-form YouTube videos (studio shoots, lessons, breakdowns, storytelling pieces, and lifestyle content)
Edit high-production short-form videos for Instagram Reels, TikTok, LinkedIn
Build a consistent visual identity across all founder content
Create clean, aesthetically strong animations and motion graphics
Add subtitles, graphics, and brand elements to elevate content quality
Develop scroll-stopping hooks and story pacing for short-form
Help optimise content for each platform’s algorithm and format
Collaborate with founders and our head of content on concepts, scripts, and creative direction
Maintain a fast editing turnaround while hitting high quality standards
Manage content versions, asset organisation, and project files
Requirements
Extremely strong English proficiency
- you must be able to speak / understand English at an almost native level in order to best work with the team.
2+ years experience
editing for creators, personal brands, or YouTube channels.
Strong proficiency in
Premiere Pro, After Effects, or DaVinci.
A deep understanding of modern social aesthetics and native content trends for personal brands in the digital marketing / online business space.
Ability to switch quickly between polished production and raw social content
Strong taste - you care about aesthetics, cleanliness, typography, spacing, framing, and visual quality
Excellent ability to tell stories visually, complementing the speaker.
Comfortable receiving direct feedback from founders.
Fast turnaround times without sacrificing quality.
Portfolio demonstrating
both high-production aesthetic work.
What We Offer
Full-time role with us
Fully remote, work from anywhere
Opportunity to grow into a senior/lead role as the personal brand team expands
Work featured across major platforms, stages, and publications
Creative freedom and a high level of ownership
A chance to build one of the most influential personal brands in the marketing industry
Location: Quebec
Workplace: onsite
(Version française ci-dessous)
Graphics Programmer
With multiple awards to our name, Larian Studios has proven that we’re dedicated to delivering high-quality role-playing games. As we move on to new projects, the studio that brought you Baldur’s Gate 3 & Divinity: Original Sin 2 is looking for a Graphics Programmer to join the team and help us in crafting the high calibre games our fans have come to expect.
Responsibilities
To maintain and extend our proprietary engine on its VFX related part (particle simulation, materials, post-process effects, rendering/lighting pipeline).
Work closely together with Art/VFX department, to implement visual effects of topnotch quality and extending our library of existing VFX components.
Debug and optimize code to hit quality and performance targets
Document code features.
Requirements
Thorough knowledge of C++.
Strong technical background (bachelor’s degree or comparable experience).
Passion for making and playing great games.
Experience with modern graphics APIs like DirectX 12, Vulkan, Metal.
Experience with a wide range of CPU and GPU profiling tools.
Experience with particle system algorithms, including GPU particle implementations.
Excellent knowledge of shading languages and experience with writing complex GPU algorithms using shading languages
.Multi threading should be second nature.
Excellent software design and problem-solving skills.
Excellent software debugging skills.
You are a team player and willing to take responsibility.
This is a full-time, on-site role, requiring your presence in the office to support collaboration and creativity.
Fluent in English, both spoken and written*
Nice to haves:
C# experience
Shipped game/console titles strong plus
What we offer:
An international team of over 600 employees spread across 7 studios around the world, each of which have their own unique qualities, and maintain a small-studio feel
An open, collaborative environment where ideas are welcome and encouraged
A managerial team consisting of highly experienced game developers at the top of their fields
Sharing hobbies and passions with like-minded colleagues
Inclusive environment with many activities organized by the studios or the employees
Commitment to making the best game possible for the fans, including listening to community feedback
* Due to the global nature of our operations and the need to engage daily with an international team, fluency in English is essential for this position at Larian.
------------------------------------------
Programmeur de graphismes
Maintes fois primé, Larian Studios a amplement démontré sa volonté de proposer des jeux de rôle de très haute qualité. À l’heure où le studio à l’origine de titres comme Baldur’s Gate 3 et Divinity: Original Sin 2 se tourne vers de nouveaux projets, nous sommes en quête d’un programmeur de graphismes qui rejoindra l’équipe et nous aidera à créer les jeux d’excellence auxquels nos fans sont habitués.
Responsabilités
Maintenir et développer notre moteur propriétaire du côté des effets visuels (simulation de particules, matériaux, effets de post-traitement, processus de rendu/d’éclairage)
Travailler en étroite collaboration avec le département responsable des graphismes et des effets visuels afin de mettre en œuvre des effets visuels de grande qualité et d’agrandir notre bibliothèque de composants d’effets visuels existants
Déboguer et optimiser le code pour atteindre nos objectifs en termes de qualité et de performance
Documenter les fonctionnalités du code
Profil recherché
Connaissance approfondie de C++
Solides connaissances techniques (baccalauréat ou expérience similaire)
Passion de faire, et de jouer à, des jeux exceptionnels
Une expérience avec des API graphiques modernes comme DirectX 12, Vulkan ou Metal
Une expérience avec un large éventail d’outils de profilage d’unité centrale et de processeur graphique
Une expérience avec les algorithmes de systèmes de particules, y compris l’implémentation de particules GPU
Excellentes connaissances des langages d’ombrage et expérience dans l’écriture d’algorithmes GPU complexes à l’aide de langages d’ombrage
Le multithread devrait être un réflexe
Excellentes compétences de conception logicielle et de résolution de problème
Excellentes compétences de débogage logiciel
Passion du travail en équipe et volonté d’assumer ses responsabilités
Ceci est un poste à temps plein dans nos locaux. Votre présence au bureau est requise pour favoriser un esprit de collaboration et de créativité.
Maîtrise courante de l’anglais, à l’écrit comme à l’oral*
Éléments appréciés
Une expérience en C#
Gros avantage : avoir lancé plusieurs jeux/titres sur console
Ce que nous proposons
Une équipe internationale de plus de 600 employés répartis dans 7 studios à travers le monde, chacun avec ses propres qualités uniques, le tout en conservant une ambiance conviviale de petite entreprise
Un environnement de travail ouvert et collaboratif, où les idées nouvelles sont encouragées et bienvenues
Une équipe de gestion composée de développeurs expérimentés et au sommet de leur art
Des collègues ayant les mêmes valeurs, avec lesquels partager vos passions et vos passe-temps
Un environnement inclusif avec de nombreuses activités organisées par les studios ou les employés
Un engagement à réaliser le meilleur jeu possible pour les fans, en prenant en compte les commentaires de la communauté
* En raison de la portée mondiale de nos opérations et de la nécessité d'interagir quotidiennement avec une équipe internationale, des connaissances professionnelles en anglais sont indispensables pour ce poste chez Larian.
International rapidly growing product IT company
StellarTech
is looking for the
Head of BI & Analytics
. You will lead the establishment and evolution of our BI & Analytics unit, serving as the cornerstone for data-driven decision-making across the company. You will be responsible for managing and overseeing our Data Platform, providing comprehensive analytics, reports, and insights to support various internal functions including Marketing, Monetization, Product, Payments and Customer Support, etc.
What You’ll Do:
- Create Analytics Framework for Mobile Apps: Design and implement a robust analytics framework tailored to mobile and web applications, covering complete business cycle with marketing, monetisation, payments and product data. Esteblish key business metrics, organise metric tree and reporting structure for financial and operational controls
- Data Management and Excellence: Act as Business owner of Data Platform, ensuring it support's real-time data processing and analytics needs for business units. Oversee the integration of required data sources and data integrity & reliability across the platform. Define and manage Data Model inline with business needs, ensure Data Quality controls are in place
- Operational Reporting and Visualization Tooling: Develop and maintain operational reporting systems and dashboards to monitor day-to-day operations, including key metrics for app usage, marketing and financial performance. Select and implement cutting-edge tools for data visualization to ensure accessible, real-time insights for decision-makers.
- Strategic Insights and Decision Support: Provide strategic insights to executive leadership and internal stakeholders by analyzing data trends and market dynamics. Drive data-driven decision-making processes across the company, particularly in areas affecting product development, marketing strategies, and customer experience. Design business metrics, create plans and forecasts.
- Cross-functional Collaboration for Data-Driven Culture: Foster a collaborative environment with Marketing, Monetization, Product, Payments, Finance and Customer Support teams to identify and fulfill their analytics needs. Champion the use of data and insights in all strategic discussions and planning sessions to embed a data-driven culture throughout the organization.
- Data Governance, Privacy, and Compliance: Ensure the analytics practices adhere to data governance standards and comply with relevant privacy laws and regulations. Implement policies and procedures for data handling and sharing to protect user data and company information.
- Leadership and Team Development: Assemble and steer the analytics team in matrix structure, setting objectives and key performance indicators in line with the company’s vision.
- AI Initiatives Development: Develop and implement an AI/ML strategy for analytics to enhance decision-making efficiency across various business units.
- Cross-Product Analytics: Create a systematic approach for comparative analysis and benchmark between company products and competitive products to identify best practices and potential synergies.
What We’re Looking For:
- At least 3-5 years in a similar analytics leadership role in the mobile and web app industries with mln of users
- Strong expertise in analytics tools (Tableau, SuperSet, etc.) and platforms (e.g., Google Analytics), data warehousing solutions, and SQL/NoSQL databases. Familiarity with machine learning techniques.
- Practical experience of creating and managing data models for mobile and web application analytics. Understanding of business related metrics (subscription, upsells, etc.)/ Organizing analytical environments for performance marketing and other business units
- Proven experience in managing large datasets, and in the development and management of a Data Platform. Orgagnizing and preserving data quiality and integrity.
- Proficiency in statistical analysis, data visualization, and predictive modeling tools. Practical experience of using 3rd party tools like Similarweb, Sensor Tower, etc.
- Knowledge and experience of integrating with product analytical tools (Amplitude, Mixpanel) and marketing tooling (Meta, GoogleAds, BigSpy, etc.) Awareness of platfroms integration aspects. Strong A/B tooling practicioner
- Basic knowledge of data platforms architectures and integration technics, its capabilities and limitations
- Experience building scalable analytics systems for rapidly growing companies transitioning from hundreds of thousands to tens of millions of users.
- Experience developing analytics stacks that can be integrated with company platform solutions.
Nice to have:
Experience with systems that automatically optimize marketing campaigns, pricing, and other business processes based on analytical data.
Understanding of recommendation systems and content personalization algorithms.
Why You'll Love Working With Us:
Innovative Environment: We're all about trying new things and pushing the envelope in EdTech.
We are global remote
Health: company-provided medical expense compensation.
AI solutions: АІ subscription and other tools.
Balance: Flexible paid time off, you get 21 days of annual leave + 10 bank holidays.
Collaborative Culture: Work alongside passionate professionals who are as driven as you are.
Location: Algiers, Algeria
Workplace: hybrid
Yassir is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in 45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa. It is backed (~$200M in funding) by VCs from Silicon Valley, Europe and other parts of the world.
We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally.
Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values.
About the role
In this role, you will be part of our growing and international engineering team, working with a high-quality code base and the latest tools, where you will promote your skills to be an expert in complex backend development, including microservices architecture, using Node.js,. You will own and build large scale backend systems and micro-services. You will design, develop, and deliver powerful server-side applications in a highly dynamic environment, where root cause analysis and rapid problem-solving are required.
About your role as “Senior Back-end Engineer”
Build robust and scalable software in Node js.
Design and create (micro)services and system architecture for projects, and contribute and provide feedback to other team members
Help improve existing code quality through writing unit tests, automation and performing code reviews
Participate in brainstorming sessions and contribute ideas to our technology, algorithms and products
Work with the engineering and design teams to understand end-user requirements, formulate use cases, and then translate that into a pragmatic and effective technical solution
Dive into difficult problems and successfully deliver results on schedule
About your experience
Location: United Kindom, United Kingdom; Buenos Aires, Argentina; Bogotá, Colombia; Sao Paulo, Brazil; Montevideo, Uruguay; Bangalore, India; Chittagong, Bangladesh; Karachi, Pakistan; Tokyo, Japan; Hanoi, Vietnam; Taipei, Taiwan; Bangkok, Thailand; London, United Kingdom; Lugano, Switzerland; Barcelona, Spain; Dubai, United Arab Emirates; Sofia, Bulgaria; Prague, Czechia; Belgrade, Serbia; Copenhagen, Denmark; Tallinn, Estonia; Athens, Greece; Tbilisi, Georgia; Budapest, Hungary; Dublin, Ireland; Sliema, Malta; Oslo, Norway; Amsterdam, Netherlands; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Stockholm, Sweden; Brussels, Belgium; Tel Aviv, Israel; Istambul, Türkiye; Nicosia, Cyprus
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 model team, you will drive innovation in model serving and inference architectures for advanced AI systems. Your work will focus on optimizing model deployment and inference strategies to deliver highly responsive, efficient, and scalable performance across real-world applications. You will work on a wide spectrum of systems, ranging from resource-efficient models designed for limited hardware environments to complex, multi-modal architectures that integrate data such as text, images, and audio.
We expect you to have deep expertise in designing and optimizing model serving pipelines and inference frameworks as well as a strong background in advanced model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel serving strategies and inference algorithms. Your responsibilities include engineering robust inference pipelines, establishing comprehensive performance metrics, and identifying and resolving bottlenecks in production environments. The ultimate goal is to enable high-throughput, low-latency, low-memory footprint, and scalable AI performance that delivers tangible value in dynamic, real-world scenarios.
Responsibilities
Design and deploy state-of-the-art model serving architectures that deliver high throughput and low latency while optimizing memory usage. Ensure these pipelines run efficiently across diverse environments, including resource-constrained devices and edge platforms. Establish clear performance targets such as reduced latency, improved token response, and minimized memory footprint.
Build, run, and monitor controlled inference tests in both simulated and live production environments. Track key performance indicators such as response latency, throughput, memory consumption, and error rates, with special attention to metrics specific to resource-constrained devices. Document iterative results and compare outcomes against established benchmarks to validate performance across platforms.
Identify and prepare high-quality test datasets and simulation scenarios tailored to real-world deployment challenges, specifically those encountered on low-resource devices. Set measurable criteria to ensure that these resources effectively evaluate model performance, latency, and memory utilization under various operational conditions.
Analyze computational efficiency and diagnose bottlenecks in the serving pipeline by monitoring both processing and memory metrics. Address issues such as suboptimal batch processing, network delays, and high memory usage to optimize the serving infrastructure for scalability and reliability on resource-constrained systems.
Work closely with cross-functional teams to integrate optimized serving and inference frameworks into production pipelines designed for edge and on-device applications. Define clear success metrics such as improved real-world performance, low error rates, robust scalability, optimal memory usage and ensure continuous monitoring and iterative refinements for sustained improvements.
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).
Must have knowledge of Metal Shading Language (MSL). You should be comfortable writing custom compute shaders from scratch.
Proven experience in low-level kernel optimizations and inference optimization on mobile devices is essential. Your contributions should have led to measurable improvements in inference latency, throughput, and memory footprint for domain-specific applications, particularly on resource-constrained devices and edge platforms.
A deep understanding of modern model serving architectures and inference optimization techniques is required. This includes state-of-the-art methods for achieving low-latency, high-throughput performance, and efficient memory management in diverse, resource-constrained deployment scenarios.
Must have strong expertise in writing GPU kernels for mobile devices (i.e., smartphones) as well as a deep understanding of model serving frameworks and engines. Practical experience in developing and deploying end-to-end inference pipelines, from optimizing models for efficient serving to integrating these solutions on resource-constrained devices is required.
Demonstrated ability to apply empirical research to overcome challenges in model serving, such as latency optimization, computational bottlenecks, and memory constraints. You should be proficient in designing robust evaluation frameworks and iterating on optimization strategies to continuously push the boundaries of inference performance and system efficiency.
Distributed Inference Systems: Designing and optimizing high-performance inference engines using techniques like Tensor Parallelism, Pipeline Parallelism, and Expert Parallelism to handle massive models on GPU clusters.
Deep understanding of the math and structure behind Diffusion Models and Vision Transformers
Understanding of Pruning, Quantization, Flash attention, KV Cache, Speculative Decoding (Eagle) etc.
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: United Kindom, United Kingdom; Buenos Aires, Argentina; Bogotá, Colombia; Sao Paulo, Brazil; Montevideo, Uruguay; Bangalore, India; Chittagong, Bangladesh; Karachi, Pakistan; Tokyo, Japan; Hanoi, Vietnam; Taipei, Taiwan; Bangkok, Thailand; London, United Kingdom; Lugano, Switzerland; Barcelona, Spain; Dubai, United Arab Emirates; Sofia, Bulgaria; Prague, Czechia; Belgrade, Serbia; Copenhagen, Denmark; Tallinn, Estonia; Athens, Greece; Tbilisi, Georgia; Budapest, Hungary; Dublin, Ireland; Sliema, Malta; Oslo, Norway; Amsterdam, Netherlands; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Stockholm, Sweden; Brussels, Belgium; Tel Aviv, Israel; Istambul, Türkiye; Nicosia, Cyprus
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 the AI model team, you will drive innovation in multi-modal reinforcement learning to advance next-generation intelligent systems. Your work will focus on optimizing decision-making and adaptive behavior across integrated data modalities such as text, images and audio to deliver enhanced intelligence, robust performance, and domain-specific capabilities for real-world challenges. You will develop and scale reinforcement learning techniques within complex multi-modal architectures, including diffusion-based generative models and autoregressive models for multimodal understanding, as well as resource-efficient models designed for constrained hardware environments. This includes conducting research on reinforcement learning algorithms for multimodal models, spanning diffusion models for image autoregressive models for multimodal reasoning, and unified multimodal frameworks.
You are expected to have deep expertise in designing multi-modal reinforcement learning systems and a strong background in advanced model architectures, with a hands-on, research-driven approach to building and deploying novel algorithms and training frameworks. You will design and develop RL infrastructure and reward modeling strategies to enable efficient large-scale training, improve training stability, and mitigate reward hacking and related failure modes. Your responsibilities also include curating multi-modal simulation environments and training datasets, improving baseline policy performance across modalities, and identifying and resolving bottlenecks in multi-modal learning and reward optimization. In addition, you will explore next-generation reinforcement learning paradigms that more directly and effectively learn from environment feedback, with the goal of unlocking superior, domain-adapted AI performance in dynamic, real-world environments.
Responsibilities
Conduct research on reinforcement learning algorithms for multimodal models, including diffusion-based approaches for image autoregressive models for multimodal understanding, and unified frameworks that integrate multiple modalities.
Design and build reinforcement learning infrastructure that supports scalable, distributed training across multimodal systems while maintaining efficiency and reliability.
Develop and refine reward modeling strategies that improve training stability, align model behavior with desired outcomes, and mitigate reward hacking and related failure modes.
Create and curate multimodal simulation environments and datasets to support robust training, evaluation, and benchmarking of reinforcement learning systems.
Design and conduct rigorous benchmarking and evaluation protocols to measure model performance, track progress against baselines, and validate improvements across multimodal tasks.
Analyze and optimize policy performance across modalities by identifying bottlenecks in training, credit assignment, and cross-modal alignment.
Investigate and develop next-generation reinforcement learning paradigms that more effectively learn from environment feedback, with the goal of achieving superior state-of-the-art (SOTA) performance.
Publish research findings in top-tier conferences such as ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV etc.
A Master's degree in Computer Science or a related field is required; a PhD in Machine Learning, NLP, Computer Vision, or a closely related discipline is preferred, along with a strong track record of AI research and publications in top-tier conferences.
Proven experience running large-scale reinforcement learning experiments in multimodal and vision-centric systems, including online RL settings, with demonstrated impact on domain-specific decision-making and measurable improvements in policy performance.
Deep understanding of reinforcement learning algorithms and optimization methods applied to vision and multimodal learning problems, with a focus on improving policy stability, exploration, and sample efficiency in complex, high-dimensional environments involving images, video, and other modalities.
Strong proficiency in PyTorch and deep learning frameworks for vision and multimodal AI, with hands-on experience building end-to-end RL pipelines covering simulation, training, evaluation, and deployment in production-grade systems.
Demonstrated ability to apply empirical research to solve core RL challenges in multimodal and vision tasks, such as sample inefficiency, exploration-exploitation tradeoffs, and training instability, along with experience designing robust evaluation frameworks and iterating on algorithmic improvements to advance agent performance.
Proven track record of research publications in top-tier conferences such as ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV etc.
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: United Kindom, United Kingdom; Buenos Aires, Argentina; Bogotá, Colombia; Sao Paulo, Brazil; Montevideo, Uruguay; Bangalore, India; Chittagong, Bangladesh; Karachi, Pakistan; Tokyo, Japan; Hanoi, Vietnam; Taipei, Taiwan; Bangkok, Thailand; London, United Kingdom; Lugano, Switzerland; Barcelona, Spain; Dubai, United Arab Emirates; Sofia, Bulgaria; Prague, Czechia; Belgrade, Serbia; Copenhagen, Denmark; Tallinn, Estonia; Athens, Greece; Tbilisi, Georgia; Budapest, Hungary; Dublin, Ireland; Sliema, Malta; Oslo, Norway; Amsterdam, Netherlands; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Stockholm, Sweden; Brussels, Belgium; Tel Aviv, Israel; Istambul, Türkiye; Nicosia, Cyprus
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 the AI model team, you will drive innovation in post-training methodologies, with a special focus on agentic behaviors and tool use. Your work will refine pre-trained models so that they not only deliver enhanced intelligence and domain specific capabilities, but also learn to reason, plan, and autonomously invoke external tools to solve real world, multi step tasks and applications on edge devices (i.e., smartphones).
You will work on a wide spectrum of systems, ranging from streamlined, resource efficient agents that run on limited hardware to complex multi modal architectures integrating text, images, and audio, all optimized for tool augmented decision making.
We expect you to have deep expertise in large language model architectures and substantial experience in post-training for agentic workflows, including tool use fine tuning, function calling, and reinforcement learning from feedback on multi turn interactions. You will adopt a hands-on, research driven approach to developing, testing, and implementing new post-training algorithms that unlock goal directed behavior, self correction, and reliable tool invocation.
Your responsibilities include curating agentic training data (e.g., trajectories of tool use, reasoning chains, environment interactions), strengthening baseline performance, and identifying as well as resolving bottlenecks in post-training for tool augmented agents to achieve SOTA model quality. The goal is to build models that do not just know but also act, use tools, and adapt, pushing the limits of what agentic AI can achieve.
Responsibilities
Conduct end-to-end research and engineering initiatives to advance post-training of agentic and tool-use models to achieve SOTA results.
Drive broad, cross-cutting model improvements, including factuality, instruction adherence, tool/function use, multi-agent coordination, and reasoning calibration.
Design and enhance large-scale post-training systems, including data pipelines, training workflows, evaluation frameworks, and benchmark infrastructure.
Develop rigorous evaluation suites and diagnostic tools to assess model readiness for deployment.
Strengthen feedback loops from real-world product usage, incorporating both explicit and implicit user signals into post-training.
Collaborate with tooling, product, and training teams to improve the usefulness, reliability, and agentic capabilities of frontier models.
Closely liaise with research, engineering and cross-functional teams to determine which integrations are production-ready for inclusion in major model releases.
Degree in Computer Science, Machine Learning, or a related field; advanced degree (MS/PhD) preferred with a strong publication record in top-tier AI conferences.
Experience with multimodal post-training workflows and data pipelines, particularly for agentic systems and tool use.
Hands-on experience applying post-training at scale using distributed training frameworks (e.g., multi-node GPU environments).
Demonstrated experience improving model capabilities in areas such as reasoning, tool use, and multi-agent coordination that achieve SOTA results.
Proven track record of open-source contributions related to agentic systems or tool use (code, datasets, or models) on platforms such as GitHub or Hugging Face.
Publications at leading AI conferences (e.g., NeurIPS, ICML, ICLR, ACL, CVPR, ECCV).
Important information for candidates
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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/
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When in doubt, feel free to reach out through our official website.
Location: United States; Canada; France; Dubai, United Arab Emirates
Hex Trust, established in 2018, offers fully regulated institutional digital asset market services, custody, and staking to builders, investors, and service providers. Leveraging the expertise of veteran banking technologists and award-winning financial services leaders, Hex Trust continues to innovate with its proprietary institutional-grade platform, providing secure and integrated solutions. Hex Trust holds licenses and certifications ensuring 24/7 global coverage across Hong Kong, Singapore, Dubai, France, and Italy. This dedication is reflected in our significant growth, with offices in major markets throughout Asia, the Middle East, and Europe.
Position Summary
Hex Trust is currently hiring for a Quantitative Trader who specializes proprietary trading strategies and trading infrastructure. This role requires a professional who can navigate the complexities of the crypto markets, manage trading with precision while also contributing to the firm's trading objectives.
Duties & Responsibilities
Execute client trades, optimizing for best execution while mitigating market impact, and maintaining discretion.
Develop and implement quantitative strategies that align with client trading goals and market opportunities.
Analyze market trends and liquidity to inform both proprietary and client-focused trading decisions.
Continuously assess and manage trading risks in real-time for both the firm and clients.
Create algorithmic trading tools to automate and improve trade execution processes.
Use statistical analysis to improve trading models and provide market insights to clients.
Ensure all trading practices adhere to regulatory standards and internal compliance policies.
Requirements
Bachelor's or master’s degree in a quantitative field with a solid foundation in trading algorithms.
Proven track record in quantitative trading and client execution within crypto or similar financial markets.
Expertise in low-level programming languages (C++, Rust) and familiarity with blockchain technology.
Strong analytical skills with an ability to communicate complex concepts to a diverse audience.
Exceptional risk management and problem-solving abilities.
Benefits
As one of the leading Web3 innovators,
Hex Trust
offers a front-row seat in the ever-changing blockchain & crypto industry. We genuinely believe that people are our greatest asset, and invest heavily so they’re best prepared to support our mission to unlock ownership in decentralized markets! You will be joining a company that is always committed to creating a supportive & inclusive environment that promotes personal and professional growth that furthers your success and drives innovation, collaboration, and passion in the blockchain space.
At Hex Trust, we are proud of our
H.E.X.
culture:
Heart
Empowerment
Xcellence
Join us at Hex Trust and not only can you look forward to working with blockchain professionals to build the decentralized future, but also:
Competitive Salaries & Bonuses
Access to Corporate Discounts and exclusive Employer Perks
Medical & Retirement Plans
Professional Learning and Development Opportunities
Elevate your work using cutting-edge technology
Fun & friendly office spaces in Hong Kong, Singapore, Dubai and Vietnam
Regular company & social events
Hex Trust is an equal-opportunity employer devoted to diversity and inclusion in the workplace. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.
Location: London
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
We are looking for a Quantitative Trading Analyst (QTA) to join a volatility-focused trading team. This role is ideal for candidates with 1–2 years of experience in trading, quantitative research, market making, or systematic strategies who are interested in applying quantitative thinking to volatility markets. Prior experience across a variety of asset classes is welcome — including equities, rates, credit and FX.
What you’ll do
Analyze, improve and implement trading strategies
Develop and maintain quantitative models, analytics, and trading tools
Analyze large datasets to identify market opportunities, inefficiencies, and risk exposures
Actively manage live market trading algorithms
Provide liquidity in options via systematic algos and voice in IDB markets
Conduct research into volatility dynamics, pricing, and market microstructure
Collaborate with technology teams to improve trading infrastructure and automation
Support new product and market expansion initiatives across asset classes
What we’re looking for
1–2 years of experience in trading, quantitative analysis, research, or a related role
Strong academic background in mathematics, physics, computer science, engineering, or a similarly quantitative discipline
Excellent quantitative and analytical problem-solving skills
Strong understanding of probability, statistics, and market behavior
Proficiency in Python; experience with SQL, R, or C++ is a plus
Intellectual curiosity and a genuine interest in financial markets and volatility products
Ability to work in a fast-paced, collaborative environment
Strong communication skills and attention to detail
Experience working with derivatives or volatility products
Familiarity with options pricing, Greeks, or volatility surface analysis
Experience handling large market datasets or building research pipelines
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
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leadTel Aviv-Yafo, Tel Aviv District, Israel
seniorTel Aviv-Yafo, Tel Aviv District, Israel
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