Location: Dubai, United Arab Emirates
Müller's Solutions is seeking a highly skilled
ServiceNow Senior Developer – IT Service Management (ITSM)
to join our innovative IT team. In this role, you will be instrumental in designing, developing, and implementing robust ServiceNow ITSM solutions that improve service delivery and operational efficiency for our clients.
Key Responsibilities:
Design, configure, and maintain key ServiceNow ITSM modules, such as:
Incident Management
Problem Management
Change Management
Request Management
Knowledge Management
Provide hands-on development throughout the platform, including:
Business Rules, Client Scripts, and UI Policies
Flow Designer and workflow automation
Form and catalog configurations
SLA and approval logic implementation
Manage and support day-to-day operations (BAU) by:
Investigating and resolving defects (L2/L3 support)
Enhancing existing ITSM processes and workflows
Continuously improving service delivery logic and user experience
Ensure that all solutions are developed in accordance with:
Platform standards
Reusable design patterns
Best practices for performance and scalability
Collaborate closely with the following stakeholders to convert requirements into functional, production-ready solutions:
Service owners
Operations teams
Demand and backlog teams
Support release and deployment processes by:
Managing update sets
Providing testing support and validation
Resolving issues that arise after deployment
Work alongside other module owners (such as ITOM, integrations, CSM, etc.) to maintain cross-platform consistency and ensure integration stability
Requirements
Requirements:
Over 7 years of experience in ServiceNow development, with a strong emphasis on ITSM.
Demonstrated hands-on expertise in building and supporting:
o Incident, Request, Change, and Problem management workflows.
o Service Catalog and request fulfillment processes.
Solid technical skills in:
o JavaScript and Glide API.
o Flow Designer and workflow automation.
o Business Rules, Client Scripts, and UI Policies.
Experience operating within a live production support environment (BAU), including:
o Managing enhancements, defect resolution, and operational changes.
o Coordinating work within release cycles and adhering to change governance.
Strong understanding of:
o SLA configuration.
o Approval workflows.
o Fundamental ServiceNow data model concepts.
Capability to independently manage delivery from requirements gathering through to deployment.
Experience working in Agile or hybrid project delivery settings.
Preferred / Additional Experience:
Experience in large-scale ServiceNow environments involving multiple modules and high user volumes.
Familiarity with:
o IntegrationHub and API-based integrations.
o ITOM and CMDB concepts, with cross-module understanding.
ServiceNow certifications including:
o CSA (mandatory or highly preferred).
o CIS-ITSM (preferred).
o CAD certification is an advantage.
Benefits
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic's inference fleet serves Claude to millions of users across our own products and the world's largest cloud platforms. The stack that makes this possible is deep and tightly coupled: accelerator kernels, model servers, distributed routing, autoscaling, capacity management. Every layer affects the others, often in ways that are hard to see in isolation.
The Inference System Dynamics team is responsible for understanding that whole system and holding it to a high bar across four dimensions:
throughput, latency, reliability, and correctness
. We measure how the fleet performs against its theoretical performance frontier, run cross-layer investigations to explain the gaps, and own the correctness checks that make sure Claude's outputs are right, not just fast, across hardware platforms and serving configurations. We don't own the individual components. We instrument and model them, find the highest-leverage opportunities across them, and partner with the owning teams to land the wins.
You'll work across all four areas. One week that might mean tracing a tail-latency regression from request timing down through routing and batching into a kernel overhead; the next it might mean tightening a correctness eval so it catches an output regression introduced by a quantization change. We're looking for performance engineers who treat correctness as part of performance.
Key Responsibilities
Run cross-layer performance investigations across throughput, latency, and reliability, sizing the gap between actual fleet performance and theoretical rooflines, identifying root causes, and quantifying the value of closing them
Own and improve the correctness evaluation pipeline that validates model output quality across hardware platforms, numerics, and serving configurations, and lead the investigation when it catches a regression
Build the observability, dashboards, and modeling tools that make throughput, latency, cost, reliability, correctness, and their interactions legible across the stack
Partner with kernel, serving, routing, autoscaling, and capacity teams to prioritize and land the highest-impact optimizations your analysis surfaces
Ruthlessly stack-rank a large surface area of opportunities by impact and effort, and say no to the ones that don't make the cut
Minimum Qualifications
Hands-on performance engineering experience: profiling, roofline analysis, latency/throughput optimization, and root-cause investigation in complex production systems
Proficiency in Python, with the ability to read, instrument, and contribute to large production codebases you didn’t write
Solid data analysis skills (e.g. SQL, pandas, or similar) sufficient to turn raw telemetry into clear findings
Ability to communicate quantitative results clearly in writing to influence priorities on teams you don't manage
Genuine interest in correctness as an engineering discipline: numerics, evaluation design, regression detection
Preferred Qualifications
Experience with ML systems, especially training or inference infrastructure or general LLM serving stacks. Direct large-scale inference experience is a strong plus
Familiarity with GPU/TPU/accelerator performance concepts (memory bandwidth, kernel overheads, quantization, collective communication). Reasoning about these matters more than having written kernels yourself
Experience with reliability engineering for high-throughput services: autoscaling, load balancing, request routing, tail latency
Experience with model evaluation or numerical regression-detection pipelines
Experience building observability or telemetry for distributed systems
Comfortable having impact through influence and evidence rather than direct ownership
Representative Projects
Trace a 350ms latency gap on a new accelerator platform from end-to-end request timing down to a server scheduling overhead, quantify the win, and land the fix directly or with the owning team
Redesign the correctness eval gate: determine which signals reliably catch real model-output regressions versus noise, and make it the trusted release criterion across hardware backends
Build a FLOPs funnel that breaks down where compute actually goes across the fleet, exposing the gap between achieved throughput and kernel rooflines
Root-cause a numerical divergence between two hardware platforms to a specific kernel change, and define the acceptance threshold going forward
Model the latency–cost impact of changing batch-sizing and utilization targets, and turn the result into the signal the autoscaler uses in production
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$350,000
—
$850,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Dubai, United Arab Emirates; Remote Roles - EMEA
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
About the opportunity
The BD Manager is responsible for the overall affiliate growth strategy and execution for OKX in MENA, working with our global team. The BD Manager will proactively seek out and engage closely with potential MENA crypto partners for the purpose of user acquisition and expansion of the OKX platform in the region.
What You'll Be Doing
Proactively identify and develop affiliates with communities and relationships that consist of HNW clients and professional traders
Manage and enhance relationships with HNW clients in MENA, being in contact with them frequently, build partnerships with influencers for the purpose of user acquisition
Planning and execution of online and some offline marketing activities, events, and campaigns with influencers/KOLs or media channels
Expand the user base and grow awareness of the OKX brand
Devise creative ways to identify potential affiliates/KOLs and acquire users
What We Look For In You
Solid experience in Cryptocurrency, Finance, FX or any related space, with a track record in building large affiliate networks from start to finish
Experience in business development or affiliate management
Solid connections in the region with HNW clients and professional traders
Solid project management skills and the ability to manage multiple priorities and deadlines
Understanding of fundamental affiliate customer acquisition KPIs and optimization methods to improve performance through data analysis and segmentation
Fluent in English and Arabic is a MUST
Nice to Haves
Bonus points if you have previously worked at a crypto exchange!
Experience working across time zones and cross-cultural teams
Passionate about blockchain technology and the crypto payments space
Perks &
Benefits
Competitive total compensation package
L&D programs for employees' growth and development
Various team building programs and company events
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Проект: Vault — крипто-дружественный full-cycle white label продукт на стыке банковских и криптовалютных решений для B2B2C-клиентов, позволяющий бизнесу экономить время и деньги, исключая необходимость работать с множеством поставщиков и получать отдельные лицензии.
Задачи:
— End-to-end разработка backend-сервисов на Kotlin, включая архитектуру и деплой.
— Самостоятельное написание манифестов для Kubernetes и Helm-чартов, управление инфраструктурой.
— Использование Kotlin Coroutines и моделей асинхронности для создания высокопроизводительных систем.
— Настройка мониторинга, определение ключевых метрик для обеспечения надежности и прозрачности системы.
— Проектирование распределенных систем с использованием Kafka, PostgreSQL и Redis в event-driven и cloud-native подходах.
— Менторство, участие в код-ревью и развитие инженерной культуры ответственности за результат.
Технический стек:
— Языки: Kotlin (основной), рассматриваются Senior Java разработчики, готовые перейти на Kotlin.
— Технологии: Spring Boot, Kafka, PostgreSQL, Redis.
— Инфраструктура: AWS (EKS, Lambda, S3, RDS), Docker, Kubernetes, Helm.
Требования:
— Опыт разработки на JVM 5+ лет, свободное владение Kotlin или экспертный уровень Java с готовностью перейти на Kotlin.
— Понимание, что задача не завершена, пока сервис стабильно работает в продакшене, интерес к профилированию и внутренностям рантайма.
— Практический опыт контейнеризации (Docker) и оркестрации (Kubernetes), желание самостоятельно управлять инфраструктурой.
— Знание моделей конкурентности, CAP-теоремы, ACID, SOLID и паттернов проектирования распределенных систем.
— Опыт оптимизации PostgreSQL (индексы, планы запросов) и понимание стратегий кэширования в Redis.
— Высокая степень ответственности, готовность разбираться в причинах сбоев и настраивать алерты.
Условия:
— Конкурентная оплата с выплатами в криптовалюте.
— Полностью удалённая работа.
— Гибкий график, акцент на качестве выполнения задач, а не на количестве отработанных часов.
Location: Athens
Are you an ambitious Database Engineer eager to embark on a journey of managing complex database systems within a global technology ecosystem? We are currently seeking individuals who possess strong knowledge and experience in database administration, cloud services, and automation to strengthen our Database Administration team!
Product Development at Betsson Group
Our Product Development organization operates on a global scale, with cross-functional teams spanning 6 Tech Hubs located in Malta, Budapest, Stockholm, Tallinn, Kyiv, and Athens. Our Product Development is comprised of nearly 600 dedicated professionals and is led by our CTO-CPO. Our talented Area Teams collaborate across geographical boundaries to drive innovation and deliver exceptional technology solutions.
A taster of what you will be involved with
Working with cutting edge technology enabling our Cloud Journey
The Database team is responsible for building and managing Database hosting capabilities using Infrastructure as Code for all our platform needs. Databases capabilities span from on-prem servers to cloud servers and DBaaS.
Building our Database Infrastructure Platforms with our developers and providing guidance and tooling to handle distributed systems.
Continuously improve, tune and optimise our Database platforms capabilities based on business needs. Analyse, diagnose and solve issues of efficiency performance and scale collaborating cross functional with colleagues from different teams
You’re good at
Proficiency in setting up and administering AWS database services, including SQL and NoSQL databases, both as DBaaS and Elastic Compute models.
Strong expertise in managing PostgreSQL and Microsoft SQL Server databases, including administration, optimization, and high availability configurations.
Hands-on experience with Infrastructure as Code using tools like Terraform, with a solid understanding of terraform modules and workflows.
Configuration management expertise using Ansible or Terraform for cloud infrastructure.
Familiarity with cloud providers, with a preference for AWS, and deep knowledge of cloud provider services such as Aurora, DynamoDB and RDS.
Proven experience in building scalable and distributed database infrastructure.
Skill in version control to manage code changes effectively.
Familiarity with open-source monitoring tools like Prometheus and Grafana.
Proficiency in scripting languages such as Python, Bash, Powershell, or similar.
Experience in using and managing Linux distributions.
Excellent problem-solving skills, with the ability to analyze complex technical issues and provide effective solutions promptly.
Knowledge of best practices in IT operations, including ITIL (IT Infrastructure Library) and DevOps principles.
Adaptability to changing technologies and the ability to thrive in a fast-paced and dynamic work environment.
DB design and manage efficient database schemas, optimize performance, and secure data through user authentication, access control, and encryption.
Support and implement the backup, recovery, and high availability strategies are crucial for data protection, with configurations for failover and replication.
DBAs monitor and fine-tune database performance, apply patches and updates, and automate routine tasks through scripting.
Capacity planning and disaster recovery planning ensure scalability and business continuity.
Who We Are
Betsson Group is one of the largest companies within the Global iGaming space and can trace our heritage as far back as the 1960’s. We’re Swedish and publicly listed too with our Operational HQ located on the Mediterranean Island of Malta.
We strive to deliver the best customer experience in the industry. As a market leader within iGaming we offer online gaming products across 12+ jurisdictions and 20+ brands.
You will be part of a passionate team, which is building an industry leading, scalable, multi-brand platform used by hundreds of thousands of our customers!
What we offer
Monthly Allowance for Lunch
Private & Life Plan Insurance for you and your family
Team Building Budget
Annual Wellness Allowance
Corporate Travel Insurance
Events and initiatives both Local (Quarterly Meetings) and Global
Professional Development Programs & Internal Career Opportunities
Milestone Birthday
Much like a rollercoaster, life at Betsson Group is fast-paced, full of twists and turns, and always exciting. With more than
2,800
colleagues representing over 75 nationalities
across a global network of offices
- including
1,500
at our operational headquarters in Malta - every day brings new challenges and opportunities to grow. It may not be for the faint-hearted, but if you thrive on innovation, enjoy pushing boundaries and want to be part of a diverse, international team, then you’ll fit right in at Betsson.
Challenge accepted?
By submitting your application, you understand that your personal data will be processed as set out in our
Privacy Policy
Location: Budapest
Are you an ambitious Database Engineer eager to embark on a journey of managing complex database systems within a global technology ecosystem? We are currently seeking individuals who possess strong knowledge and experience in database administration, cloud services, and automation to strengthen our Database Administration team!
Product Development at Betsson Group
Our Product Development organization operates on a global scale, with cross-functional teams spanning 6 Tech Hubs located in Malta, Budapest, Stockholm, Tallinn, Kyiv, and Athens. Our Product Development is comprised of nearly 600 dedicated professionals and is led by our CTO-CPO. Our talented Area Teams collaborate across geographical boundaries to drive innovation and deliver exceptional technology solutions.
A taster of what you will be involved with
Working with cutting edge technology enabling our Cloud Journey
The Database team is responsible for building and managing Database hosting capabilities using Infrastructure as Code for all our platform needs. Databases capabilities span from on-prem servers to cloud servers and DBaaS.
Building our Database Infrastructure Platforms with our developers and providing guidance and tooling to handle distributed systems.
Continuously improve, tune and optimise our Database platforms capabilities based on business needs. Analyse, diagnose and solve issues of efficiency performance and scale collaborating cross functional with colleagues from different teams
You’re good at
Proficiency in setting up and administering AWS database services, including SQL and NoSQL databases, both as DBaaS and Elastic Compute models.
Strong expertise in managing PostgreSQL and Microsoft SQL Server databases, including administration, optimization, and high availability configurations.
Hands-on experience with Infrastructure as Code using tools like Terraform, with a solid understanding of terraform modules and workflows.
Configuration management expertise using Ansible or Terraform for cloud infrastructure.
Familiarity with cloud providers, with a preference for AWS, and deep knowledge of cloud provider services such as Aurora, DynamoDB and RDS.
Proven experience in building scalable and distributed database infrastructure.
Skill in version control to manage code changes effectively.
Familiarity with open-source monitoring tools like Prometheus and Grafana.
Proficiency in scripting languages such as Python, Bash, Powershell, or similar.
Experience in using and managing Linux distributions.
Excellent problem-solving skills, with the ability to analyze complex technical issues and provide effective solutions promptly.
Knowledge of best practices in IT operations, including ITIL (IT Infrastructure Library) and DevOps principles.
Adaptability to changing technologies and the ability to thrive in a fast-paced and dynamic work environment.
DB design and manage efficient database schemas, optimize performance, and secure data through user authentication, access control, and encryption.
Support and implement the backup, recovery, and high availability strategies are crucial for data protection, with configurations for failover and replication.
DBAs monitor and fine-tune database performance, apply patches and updates, and automate routine tasks through scripting.
Capacity planning and disaster recovery planning ensure scalability and business continuity.
Who We Are
Betsson Group is one of the largest companies within the Global iGaming space and can trace our heritage as far back as the 1960’s. We’re Swedish and publicly listed too with our Operational HQ located on the Mediterranean Island of Malta.
We strive to deliver the best customer experience in the industry. As a market leader within iGaming we offer online gaming products across 12+ jurisdictions and 20+ brands.
You will be part of a passionate team, which is building an industry leading, scalable, multi-brand platform used by hundreds of thousands of our customers!
What we offer
Fitness-wellness allowance
🧗♂️
Company mobile phone for private use with 100 GB
📱
Annual HUF devaluation compensation
💡
Hybrid model: 3 days in the office 🏢
& 2 days from home
🏠
Private Health Insurance
🩺
Career development
📈
Technical and soft-skill training opportunities 🎓
Breakfast, fruits & lunch 🍎
Team building events
🥳
Challenge accepted?
If you are interested to learn more, please apply with your CV in English.
By submitting your application, you understand that your personal data will be processed as set out in our
Privacy Policy
Location: Malta
Are you an ambitious Database Engineer eager to embark on a journey of managing complex database systems within a global technology ecosystem? We are currently seeking individuals who possess strong knowledge and experience in database administration, cloud services, and automation to strengthen our Database Administration team!
Product Development at Betsson Group
Our Product Development organization operates on a global scale, with cross-functional teams spanning 6 Tech Hubs located in Malta, Budapest, Stockholm, Tallinn, Kyiv, and Athens. Our Product Development is comprised of nearly 600 dedicated professionals and is led by our CTO-CPO. Our talented Area Teams collaborate across geographical boundaries to drive innovation and deliver exceptional technology solutions.
A taster of what you will be involved with
Working with cutting edge technology enabling our Cloud Journey
The Database team is responsible for building and managing Database hosting capabilities using Infrastructure as Code for all our platform needs. Databases capabilities span from on-prem servers to cloud servers and DBaaS.
Building our Database Infrastructure Platforms with our developers and providing guidance and tooling to handle distributed systems.
Continuously improve, tune and optimise our Database platforms capabilities based on business needs. Analyse, diagnose and solve issues of efficiency performance and scale collaborating cross functional with colleagues from different teams
You’re good at
Proficiency in setting up and administering AWS database services, including SQL and NoSQL databases, both as DBaaS and Elastic Compute models.
Strong expertise in managing PostgreSQL and Microsoft SQL Server databases, including administration, optimization, and high availability configurations.
Hands-on experience with Infrastructure as Code using tools like Terraform, with a solid understanding of terraform modules and workflows.
Configuration management expertise using Ansible or Terraform for cloud infrastructure.
Familiarity with cloud providers, with a preference for AWS, and deep knowledge of cloud provider services such as Aurora, DynamoDB and RDS.
Proven experience in building scalable and distributed database infrastructure.
Skill in version control to manage code changes effectively.
Familiarity with open-source monitoring tools like Prometheus and Grafana.
Proficiency in scripting languages such as Python, Bash, Powershell, or similar.
Experience in using and managing Linux distributions.
Excellent problem-solving skills, with the ability to analyze complex technical issues and provide effective solutions promptly.
Knowledge of best practices in IT operations, including ITIL (IT Infrastructure Library) and DevOps principles.
Adaptability to changing technologies and the ability to thrive in a fast-paced and dynamic work environment.
DB design and manage efficient database schemas, optimize performance, and secure data through user authentication, access control, and encryption.
Support and implement the backup, recovery, and high availability strategies are crucial for data protection, with configurations for failover and replication.
DBAs monitor and fine-tune database performance, apply patches and updates, and automate routine tasks through scripting.
Capacity planning and disaster recovery planning ensure scalability and business continuity.
Who We Are
Betsson Group is one of the largest companies within the Global iGaming space and can trace our heritage as far back as the 1960’s. We’re Swedish and publicly listed too with our Operational HQ located on the Mediterranean Island of Malta.
We strive to deliver the best customer experience in the industry. As a market leader within iGaming we offer online gaming products across 12+ jurisdictions and 20+ brands.
You will be part of a passionate team, which is building an industry leading, scalable, multi-brand platform used by hundreds of thousands of our customers!
What we offer
In addition to a competitive salary:
At Betsson Group we work with a Hybrid Work From Home (WFH) model, giving you the flexibility of working 3 days in the office and 2 days at home.
We care about your health so we provide gym subsidy, health insurance (Atlas), accident insurance, office massage, office yoga and fruits.
Regular after-work and team events thanks to our proactive colleagues. We have poker events, board game nights, quizzes… if you have other idea, we really want to hear it! Last, but not least Betsson provides team building budget for each team in every quarter for team activities…it is up to you what you want to do!
Breakfast every other week for days you're in the office and snacks on breakfast weeks off.
Much like a rollercoaster, life at Betsson Group is fast-paced, full of twists and turns, and always exciting. With more than
2,800
colleagues representing over 75 nationalities
across a global network of offices
- including
1,500
at our operational headquarters in Malta - every day brings new challenges and opportunities to grow. It may not be for the faint-hearted, but if you thrive on innovation, enjoy pushing boundaries and want to be part of a diverse, international team, then you’ll fit right in at Betsson.
Challenge accepted?
By submitting your application, you understand that your personal data will be processed as set out in our
Privacy Policy
Location: Moscow, Russia
D-ploy is an IT and Engineering Solutions company with operations throughout the EMEA region including Switzerland, Germany, Czech Republic, Austria, UK, as well as the USA.
We pride ourselves on delivering innovative and superior services and solutions to numerous industry-leading clients. By building relationships and trusted partnerships within the IT community, we optimize our customer’s IT productivity and contribute to the organization’s success and value.
We are interested in talking to engaging, flexible, and solution-oriented individuals who are looking to become a part of a dynamically growing and international organization. We are focused on creating value where IT counts, join us!
In this role you will be responsible in supporting both in-place and in-cloud technologies & technology users via defined procedures. The position reports to an IT manager and is part of a team that supports both the voice and data networks for various corporate business functions.
Responsibilities
Offers technical guidance in managing the company's data and voice networks.
Installs, maintains, and provides support for local area networks (LAN), wide area networks (WAN), telephone systems, firewalls, and wireless solutions.
Installs, supports, and maintains tools for network management, monitoring, and security.
Conducts technical analyses of software, hardware, and transmission systems utilizing various diagnostic tools to ensure efficient network operations.
Observes, evaluates, and resolves issues within network and telecom environments to eliminate faults and guarantee high-quality transmission.
Engages with third-party service providers and IT vendors.
Creates and maintains documentation pertinent to the network environment.
Collaborates with other IT specialists (such as the security team, server team, Helpdesk, etc.) on complex projects.
Participates in team and project meetings as necessary.
Gains insight into the general industry standard usage of supported technologies.
Develops a basic understanding of business processes and how they rely on supported technologies.
Fosters relationships within the IT department and with clients to enhance collaboration and teamwork essential for achieving organizational goals.
Performs other tasks as assigned, with or without accommodations.
Works within a team environment that involves frequent use of PCs and collaborative tools.
Physical installation and relocation of network devices and associated hardware are required.
Requirements
Bachelor’s degree in information technology or related business field
CCNA certification or similar knowledge advantage, CCNP certification is advantage and preferred
Minimum of 5 years of experience in Information Systems
Extensive experience with LAN, WAN, SD-WAN, and wireless technologies, encompassing routing, switching, routing protocols, network hardware, management, and security
Proficient in the deployment and operations of Fortinet technologies
Experience with Cisco networking solutions
Familiarity with Microsoft Azure infrastructure and operations
Solid understanding of the OSI model
Skills in advanced data network design
Significant experience with telephony systems, including PBX, voicemail, and related platforms
Able to develop and troubleshoot programming for voice systems and call routing
Strong knowledge of carrier network interfaces and services, proficient in VOIP/TDM and TCP/IP environments
Exceptional analytical abilities with advanced problem-solving skills, including collaboration with peer technical teams to analyze and resolve cross-platform issues or to create problem-solving techniques, tools, and instructions for new or complex technologies
Solid business knowledge with a strong grasp of how supported technologies integrate into business operations, effectively applying this understanding in daily support and addressing unusual or critical issues
Knowledge of Linux/UNIX is a plus
Essential knowledge of Fortinet NSE Certification or equivalent; NSE certification is preferred
Microsoft Azure Fundamentals certification is a preferred advantage
Familiarity with VMWare and MS Server is advantageous
Excellent communication skills, with strong verbal and written proficiency in English; additional language skills are welcome
Candidates have to declare Criminal record extract not older than three months
Benefits
Broad range of activities, tasks, and projects
Flexible working conditions
Fishing for Friends program – our referral program
Refreshments in the D-ploy office
Further development and professional advancement
Friendly and international working environment
Company-sponsored events
Competitive salary and various benefits
Is
IT
in your DNA?
Location: Saint Petersburg, Russia
D-ploy is an IT and Engineering Solutions company with operations throughout the EMEA region including Switzerland, Germany, Czech Republic, Austria, UK, as well as the USA.
We pride ourselves on delivering innovative and superior services and solutions to numerous industry-leading clients. By building relationships and trusted partnerships within the IT community, we optimize our customer’s IT productivity and contribute to the organization’s success and value.
We are interested in talking to engaging, flexible, and solution-oriented individuals who are looking to become a part of a dynamically growing and international organization. We are focused on creating value where IT counts, join us!
In this role you will be responsible in supporting both in-place and in-cloud technologies & technology users via defined procedures. The position reports to an IT manager and is part of a team that supports both the voice and data networks for various corporate business functions.
Responsibilities
Offers technical guidance in managing the company's data and voice networks.
Installs, maintains, and provides support for local area networks (LAN), wide area networks (WAN), telephone systems, firewalls, and wireless solutions.
Installs, supports, and maintains tools for network management, monitoring, and security.
Conducts technical analyses of software, hardware, and transmission systems utilizing various diagnostic tools to ensure efficient network operations.
Observes, evaluates, and resolves issues within network and telecom environments to eliminate faults and guarantee high-quality transmission.
Engages with third-party service providers and IT vendors.
Creates and maintains documentation pertinent to the network environment.
Collaborates with other IT specialists (such as the security team, server team, Helpdesk, etc.) on complex projects.
Participates in team and project meetings as necessary.
Gains insight into the general industry standard usage of supported technologies.
Develops a basic understanding of business processes and how they rely on supported technologies.
Fosters relationships within the IT department and with clients to enhance collaboration and teamwork essential for achieving organizational goals.
Performs other tasks as assigned, with or without accommodations.
Works within a team environment that involves frequent use of PCs and collaborative tools.
Physical installation and relocation of network devices and associated hardware are required.
Requirements
Bachelor’s degree in information technology or related business field
CCNA certification or similar knowledge advantage, CCNP certification is advantage and preferred
Minimum of 5 years of experience in Information Systems
Extensive experience with LAN, WAN, SD-WAN, and wireless technologies, encompassing routing, switching, routing protocols, network hardware, management, and security
Proficient in the deployment and operations of Fortinet technologies
Experience with Cisco networking solutions
Familiarity with Microsoft Azure infrastructure and operations
Solid understanding of the OSI model
Skills in advanced data network design
Significant experience with telephony systems, including PBX, voicemail, and related platforms
Able to develop and troubleshoot programming for voice systems and call routing
Strong knowledge of carrier network interfaces and services, proficient in VOIP/TDM and TCP/IP environments
Exceptional analytical abilities with advanced problem-solving skills, including collaboration with peer technical teams to analyze and resolve cross-platform issues or to create problem-solving techniques, tools, and instructions for new or complex technologies
Solid business knowledge with a strong grasp of how supported technologies integrate into business operations, effectively applying this understanding in daily support and addressing unusual or critical issues
Knowledge of Linux/UNIX is a plus
Essential knowledge of Fortinet NSE Certification or equivalent; NSE certification is preferred
Microsoft Azure Fundamentals certification is a preferred advantage
Familiarity with VMWare and MS Server is advantageous
Excellent communication skills, with strong verbal and written proficiency in English; additional language skills are welcome
Candidates have to declare Criminal record extract not older than three months
Benefits
Broad range of activities, tasks, and projects
Flexible working conditions
Fishing for Friends program – our referral program
Refreshments in the D-ploy office
Further development and professional advancement
Friendly and international working environment
Company-sponsored events
Competitive salary and various benefits
Is
IT
in your DNA?
Location: Boston, Massachusetts, United States
We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.
Job Overview
It's Your Turn.
You've landed on the best square on the board. At Hasbro, we've been making the games that end up on family tables, dorm room floors, and game night wish lists for over 100 years. Monopoly. Scrabble. Clue. Risk. Battleship. Connect 4. Trivial Pursuit. Candy Land. Avalon Hill. Whether you've played them for years or are just discovering them, there's something here to love. Now imagine being the lawyer who helps protect, grow, and shape them.
We're looking for an Attorney to join our Global Games Legal Team supporting Hasbro Games. If you've got great legal instincts, a collaborative spirit, a sense of humor, and a genuine love for the way games bring people together, read on!
As part of our legal team, you'll be a trusted advisor to the people building the next generation of Hasbro's most iconic game brands. That means working across product development, licensing, marketing, emerging tech, entertainment and AI - all in service of games that millions of people around the world know and love. You'll work fast, think on your feet, and never be bored.
Location and Work Arrangement
This role is based at our Boston, MA, United States office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays.
What You'll Do
Be the go-to legal advisor for the Hasbro Games business - counseling partners on IP, licensing, advertising, promotions, privacy, regulatory compliance, AI, and emerging tech.
Draft and negotiate a wide range of agreements: IP licenses, game concept submissions, talent and consulting deals, tech and AI agreements, marketing and promotion contracts, and NDAs.
Navigate the fast-moving world of AI tools, digital platforms, and data-enabled products — from IP ownership questions to responsible AI adoption — and translate the complexity into clear, practical guidance for business teams.
Guide game and product development, packaging, and campaigns across TV, print, digital, and social including sweepstakes, contests, and consumer promotions.
Partner with senior leaders and cross-functional teams to anticipate issues, manage risk, and make great ideas happen without getting stuck in Go Directly to Jail territory.
Support licensing deals that extend beloved Hasbro game brands into new worlds - digital experiences, mobile games, live events, collaborations, and beyond.
What You'll Bring
J.D. from an accredited law school, active bar membership in good standing, and 4 - 8 years of legal experience in a law firm and/or in-house - bonus points if that experience touches games, toys, consumer products, or entertainment.
Strong chops drafting and negotiating IP, commercial, and technology agreements.
Real experience with AI-enabled tools and advising on AI and emerging tech including risk and clear communication to non-legal partners.
Solid grounding in copyright, trademark, and rights of publicity; working knowledge of digital, data, and privacy law.
Excellent judgment, clear communication, and creative problem-solving - the kind that finds the “yes and” rather than just the "no."
The ability to manage a full docket in a fast-moving environment - juggling multiple games at once, so to speak.
What Sets You Apart
Patent licensing experience.
An actual love of games? That'll take you far.
Who We Are
We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all.
Hasbro
About the Company – Hasbro
Wizards of the Coast
Who We Are – Wizards of the Coast
Equal Opportunity
Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status.
Accommodations
If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process.
Notice Regarding Hasbro’s use of AI in the Recruitment Process
We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.
How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review.
Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions.
Greenhouse has published the results of an independent bias audit of Talent Matching.
View the Greenhouse Talent Matching audit results
.
The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package.
Pay Range
$137,200
—
$205,900 USD
Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include:
Health & Wellness
Time Off to Recharge
Financial Well-being
Life & Family Support
Volunteer and Community Initiatives
Learning & Development
Exclusive Perks
Please review our
Applicant Privacy Notice
to learn how we collect, use, and protect your personal information in connection with the application process.
Location: Los Angeles, United States
📍 Location: The Greater Los Angeles Metropolitan Area, CA (Onsite)
If you’re interested in learning more about this opportunity or beginning the interview process, feel free to connect directly via LinkedIn:
LinkedIn:
https://www.linkedin.com/in/ra...
Modeling & Simulation Engineer – Operations Analysis
An advanced defense technology company is seeking a Modeling & Simulation Engineer to support operational analysis, mission effectiveness studies, and system performance evaluation across next-generation defense and aerospace programs.
This role focuses on building and executing high-fidelity simulations that help evaluate sensors, communications systems, missiles, aircraft, autonomous systems, and mission-level engagements in operationally relevant scenarios.
The ideal candidate combines strong analytical and statistical capability with hands-on simulation experience and a deep understanding of mission systems, kill chains, and operational environments.
This is a highly technical role suited for engineers who thrive in fast-paced environments and enjoy solving complex defense and mission-analysis problems.
Responsibilities
Design, develop, execute, and analyze mission-level modeling and simulation studies
Evaluate system performance and operational effectiveness across complex defense scenarios
Build and refine models for sensors, communications systems, aircraft, autonomous systems, missiles, and other mission assets
Perform operational analysis using simulation environments such as AFSIM, ESAMS, STK, Brawler, or equivalent mission-level frameworks
Apply rigorous statistical analysis methods to simulation outputs to quantify effectiveness, identify trends, and support decision-making
Develop Python- and/or MATLAB-based tools for simulation automation, data processing, visualization, and analysis
Support modeling efforts spanning radar performance, weapon employment, tracking, guidance, and engagement analysis
Create technical reports, visualizations, briefing materials, and operational assessments for technical and non-technical stakeholders
Collaborate closely with engineering, systems, and customer-facing teams to translate operational questions into analytical studies
Maintain software development best practices including version control, reproducibility, and scalable workflows
Qualifications
Bachelor’s degree or higher in Engineering, Computer Science, Physics, Mathematics, Statistics, Operations Research, Data Science, or related technical discipline
5+ years of experience supporting defense, aerospace, intelligence, or advanced technology programs
Strong understanding of mission analysis, weapon employment concepts, or operational kill chains
Experience with one or more operational simulation tools such as:
AFSIM
ESAMS
STK
Brawler
Physics-based simulation environments
Strong Python and/or MATLAB programming skills for scientific computing and analysis
Solid statistical analysis and data interpretation capability
Experience building analytical workflows, simulations, or mission-level studies with minimal oversight
Strong understanding of physics, kinematics, and system-level interactions in operational environments
Comfortable working in Linux-based environments and developing scalable analysis tools
U.S. citizenship required; ability to obtain a Top Secret clearance required
Preferred Experience
Radar performance analysis and sensor effectiveness modeling
Missile systems, guidance, tracking, or engagement analysis
Modeling and simulation of aircraft, autonomous systems, spacecraft, or communications systems
Operations analysis or mission engineering experience within defense organizations or government programs
Familiarity with Distributed Interactive Simulation (DIS), SIMDIS, VR-Forces, or related visualization environments
Experience with software-in-the-loop simulation, autonomy systems, or guidance/navigation/control frameworks
Experience supporting DoD, DARPA, AFRL, ONR, intelligence community, or related government programs
Active TS/SCI clearance
Familiarity with machine learning workflows, GPU acceleration, or advanced scientific computing libraries is a plus
What Makes This Opportunity Unique
This role offers the opportunity to help build a new operational analysis and modeling capability within a rapidly growing advanced defense environment.
The team is looking for engineers who can bridge rigorous analytical thinking with practical mission understanding — people who understand not only how to build simulations, but also how to interpret operational outcomes and identify what truly matters in mission execution.
You’ll work on technically challenging problems spanning sensors, weapons, autonomous systems, and mission-level performance evaluation in support of high-impact national security programs.
Additional Information
Competitive compensation and equity package
Comprehensive healthcare coverage
401(k) matching
PTO flexibility
Relocation assistance may be available
Full-time onsite collaboration environment
U.S. citizenship required due to security and export control requirements
📍 Location: The Greater Los Angeles Metropolitan Area, CA (Onsite)
To learn more or express interest, connect directly via LinkedIn:
LinkedIn:
https://www.linkedin.com/in/ra...
Salary: $140,000 – $190,000 / year
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: 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.
San Francisco, CA | New York City, NY | Seattle, WA
Experience working across time zones and cross-cultural teams; Remote Roles - EMEA
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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