Location: Remote, United Kingdom
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Senior Backend Engineer with the
Database Excellence group
, you'll build and evolve the data frameworks and tooling that keep GitLab's application datastores scalable, healthy, and safe across both GitLab.com and thousands of self-managed instances. A primary focus for this role is building proactive data growth controls for GitLab.com, including retention and lifecycle management frameworks, enforcement of retention policies at schema-change time, and tooling that keeps database growth sustainable as AI-driven development accelerates how quickly data accumulates. You'll help teams across GitLab reason confidently about data architecture, placement, and lifecycle management, while proactively identifying saturation points in our GitLab.com infrastructure and driving corrective actions with partner teams. With the team's recent move into the Data Engineering organization, you'll also shape new scalability and data health features for self-managed customers, working hands-on with PostgreSQL and Ruby on Rails in a fully remote, highly collaborative environment.
Some examples of our projects:
Data Growth Controls (retention enforcement and data lifecycle management)
SQL Traffic Replay Tooling
Background Operations Framework
What you'll do
Develop and iterate backend features and data frameworks that make it safe and efficient for GitLab teams to work with data at scale across SaaS and self-managed deployments.
Design and build data retention and lifecycle management frameworks, including retention policy enforcement, bulk data removal tooling, and automated identification of tables that need retention policies.
Build shift-left guardrails, such as static analysis checks and schema-change-time enforcement, that catch unsustainable data growth patterns before they reach production.
Collaborate closely with product management, UX, frontend, infrastructure, software delivery, and analytics teams to design and ship high-performing solutions
Review and improve database-related changes from other engineers and community contributors, ensuring data integrity, safety, and performance across all deployment scenarios.
Design, build, and maintain tooling such as SQL traffic replay and background operations frameworks to proactively surface and address scalability and performance issues.
Research, design, and implement improvements to data retention and lifecycle management, database performance, scalability, and data health, including areas like soft delete strategies and database migration testing.
Document database best practices, patterns to avoid, and data architecture guidance to enable developers to make informed decisions.
Develop proactive tooling and guardrails that help developers detect and remediate potential performance and data issues early in the development lifecycle.
Take part in on-call or operational support where your team’s ownership model requires it.
What you'll bring
Professional software engineering experience working with PostgreSQL in large, complex production environments, including high availability solutions with automatic failover and zero-downtime data migrations as well as managing large or fast-growing datasets through approaches such as data retention, archiving, partitioning, or lifecycle management.
Proficiency with Ruby on Rails or another Ruby framework, including designing, implementing, and reviewing backend features.
Ability to reason about software design, algorithms, and performance trade-offs at a system level.
Strong written communication skills and comfort working asynchronously in an all-remote, distributed team.
Self-directed work style with effective organizational skills and the ability to manage priorities as a "manager of one".
Alignment with GitLab's values, including transparency, collaboration, inclusion, and contribution to open source.
Openness to learning and applying new tools and approaches, including transferable experience from related data, infrastructure, or developer tooling domains.
Willingness to participate in our
tier 2 dabase on-call rotation
in your time zone.
The
Database Excellence Group
is a remote, agile backend team that builds and maintains the frameworks, patterns, and tooling that enable GitLab teams to work confidently with data at scale across all application datastores. As part of the broader Data Engineering organization, we focus on data scalability, health, and developer enablement for both GitLab.com and thousands of self-managed deployments, collaborating closely with infrastructure, software delivery, and analytics stages to ensure data changes are safe, performant, and compatible across diverse environments. We are independent, self-organized contributors, and we collaborate asynchronously across regions. We are currently expanding our mission from proactively identifying and addressing saturation points in GitLab.com infrastructure to also delivering scalability features and data health initiatives to self-managed customers.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
УдалённоseniorRemote, United Kingdom; in your time zone
Location: Hamburg
adjoe builds the technologies behind mobile apps growth and monetization. adjoe Ads is our programmatic in-app advertising platform that seamlessly connects advertisers and publishers through direct integration of our Android and iOS SDKs. Every ad decision happens in under 200ms across 10 million daily users, powered by real-time bidding algorithms and user quality prediction models that match the right ad to the right user at the right moment.
Where 50 Billion Daily Predictions Begin
The User Experience team is the origin point of adjoe Ads. Everything the system knows about a user, every prediction the ML models make, every bid placed in an auction. It all starts with code this team ships.
The team owns two responsibilities. On the SDK side, a native Kotlin and Swift code runs inside hundreds of publisher apps. It participates in 120 million daily auctions, renders ad creatives across multiple formats, and captures the behavioral signals that power 50 billion predictions per day. The constraint that defines this work: you're executing inside someone else's app, on someone else's device, with zero tolerance for instability. Every ad impression has to feel native and fast to the user.
On the analytics side, the dashboards, investigation tools, and data frameworks that turn raw data into decisions: real-time revenue performance across active campaigns, infrastructure cost visibility, and data quality assessments. If a number matters to the business or to engineering, this team makes it accessible.
Your Mission & Who We Are Looking For:
- Auction & Marketplace Analytics: You will monitor core ad exchange KPIs—including bid rates, win rates, timeout rates, eCPM, and render rates—and run deep dives to uncover bidding patterns and supply path optimization (SPO) opportunities. We are looking for someone with 2–3 years of experience as a Data or Product Analyst in AdTech (Programmatic, Ad Exchange, SSP, or DSP) who understands what drives marketplace health and revenue.
- A/B Testing & Revenue Strategy: You will design, track, and evaluate A/B tests for product features, floor pricing rules, and traffic shaping algorithms. We are looking for a data-driven thinker who loves solving business puzzles, testing commercial hypotheses, and proving what actually moves the needle on product performance.
- Advanced Data Extraction: You will query massive datasets to turn millions of raw ad events into clear business answers. We need advanced SQL skills to effortlessly query billions of rows, spot anomalies, and translate complex metrics into clear, actionable recommendations for our product and demand teams.
- Traffic & Cost Efficiency: You will analyze bid request data to identify inefficient traffic and help product managers design smart routing rules. We need an analyst who can balance top-line revenue with operational costs, finding ways to streamline traffic (Queries Per Second) without sacrificing publisher earnings.
- Executive Dashboarding & Reporting: You will build automated, easy-to-read dashboards that give Product, Engineering, and Demand Partnerships real-time visibility into campaign performance. We are looking for hands-on experience with BI tools like QuickSight, Tableau, Looker, Power BI, or Redash to make key business numbers intuitive and accessible to everyone.
- Agile Project Execution: You will balance scheduled analytics projects with quick-turnaround deep dives when marketplace metrics shift unexpectedly. We need a hands-on, proactive analyst who thrives in a fast-paced environment and can independently manage multiple analytical priorities.
🌎 WE WELCOME APPLICATIONS FROM TALENT WORLDWIDE AND PROVIDE RELOCATION SUPPORT TO HAMBURG, GERMANY FOR THOSE READY TO JOIN OUR TEAM.
What’s in It for You?
At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day.
- Go Big. Own projects with impact on 770M users and push adtech boundaries.
- Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum.
- Be Direct. Solve problems openly and collaborate across teams.
- Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other.
- Have Fun. Celebrate wins, enjoy daily victories, and bring your energy.
We welcome applications from people who will contribute to the diversity of our company.
Location: Bucharest
Workplace: OnSite
LIFE AT UIPATH
The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power.
To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose.
Could that be you?
YOUR MISSION
As a Principal Software Engineer, you will help define and evolve the technical strategy for cloud services that power critical automation capabilities across the UiPath platform. You will lead architecture and design across complex backend and distributed systems, often working through ambiguity, dependencies, and cross-team impact. You will help teams make the right technical tradeoffs across scalability, reliability, security, customer experience, operational excellence, and cloud cost, while setting engineering standards that support UiPath’s current and future growth.
WHAT YOU'LL DO AT UIPATH
- Lead the architecture and technical direction of complex backend and cloud-native services across the UiPath platform.
- Design scalable, secure, reliable, and high-performing distributed systems across cloud, on-premises, and hybrid environments.
- Partner with engineering leaders, architects, product managers, and cross-functional teams to shape technical solutions for high-impact product and platform areas.
- Drive technical planning and roadmap input for complex services, platform capabilities, or cross-team initiatives.
- Identify long-term scalability, reliability, security, performance, and cost challenges, and lead the design of sustainable solutions.
- Set high standards for system design, code quality, testing, observability, automation, incident management, and engineering excellence.
- Mentor and guide engineers through design reviews, technical discussions, architecture decisions, and hands-on technical feedback.
WHAT YOU'LL BRING TO THE TEAM
- 7+ years of software engineering experience, with strong backend and cloud development experience.
- Hands-on experience with one or more modern programming languages such as C#, Java, Python, or Go.
- Strong experience designing and building distributed systems, microservices, APIs, and cloud-native architectures.
- Proven ability to influence technical direction and drive architecture decisions across teams.
- Experience building and operating production-grade services in cloud environments such as Azure, AWS, or GCP.
- Good knowledge of containers, Kubernetes, CI/CD, monitoring, logging, observability, and production operations.
- Strong understanding of system design, data structures, algorithms, multithreading, asynchronous programming, and performance optimization.
- Experience with relational and/or NoSQL databases, messaging systems, event-driven architectures, or high-scale data processing.
- Ability to balance customer experience, reliability, security, scalability, and cloud cost when making technical decisions.
- Strong technical leadership, ownership, and communication skills, with the ability to guide teams through ambiguity.
- Interest in automation, AI, developer platforms, enterprise software, or large-scale cloud systems is a plus.
Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned.
Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.
We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.
Plurio is an AI agent that automates media buying on Meta, Google, and TikTok for teams spending $300K–$15M a month, handling daily analysis, optimization calls, and execution directly in ad accounts. The system runs over $500M/year in ad spend and has grown 5× since March. The role involves owning the Meta Ads methodology encoded as deterministic rules and skills within the AI agent, improving and testing the algorithm to run Meta media buying end to end from inputs like goals, parameters, and creatives. Responsibilities include maintaining a single source of truth methodology, improving it by generating and testing hypotheses on historical data, building a testing machine to automate testing cycles, and creating implementation and control skills for account audits and adaptations. The ideal candidate is a top expert in Meta methodology with experience running media buying at scale (~$500K+/month), possessing deep knowledge of Meta account architecture, creative testing, data analysis, and decision logic beyond simple rules. They should be AI-native, able to build pipelines and automation by hand, and convert logic into deterministic skills backtested before deployment. The team includes top performance marketing and product experts from major agencies and ad platforms. The position offers up to $180,000/year gross, remote work worldwide within UTC+5 timezone, provided tools including AI infrastructure, 50% education cost coverage, two weeks vacation twice a year plus holidays, and employment via Deel contract. Application is through the "Apply for this role" button on the provided link, followed by recruiter contact and interviews with leadership.
УдалённоYou can work remotely from anywhere in the world, as long as your timezone is no further east than UTC+5: the Americas, Europe, Africa, the Middle East, and Western/Central Asia all work
Location: Bangalore - Engineering
Workplace: OnSite
LIFE AT UIPATH
The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power.
To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose.
Could that be you?
YOUR MISSION
About the Role
We are seeking a highly skilled Principal Software Engineer to lead the design and development of the Data Fabric platform—a next-generation distributed data infrastructure that enables seamless data integration, processing, governance and security at scale. As a key technical leader, you will architect robust, scalable, and high-performance systems while mentoring engineering teams to deliver cutting-edge data solutions.
WHAT YOU'LL DO AT UIPATH
- Architect, Design and Build: Lead the technical vision, architecture, and implementation of the Data Fabric platform, ensuring scalability, reliability, and security.
- Distributed Systems: Design and optimize large-scale distributed data systems for ingestion, storage, processing, and querying.
- Technical Leadership: Mentor senior engineers, set best practices, and drive innovation in data engineering and infrastructure.
- Cross-functional Collaboration: Work closely with teams across other locations to innovate and develop best-in-class solutions.
- Performance Optimization: Identify bottlenecks, improve system efficiency, and ensure high availability for data workloads.
- Standards & Governance: Establish engineering standards, code reviews, and CI/CD pipelines for high-quality deliverables.
- Ownership: Stay accountable for the software deliverables to meet all requirements of quality, security, scalability, modifiability, extensibility, testability etc.
- Emerging Technologies: Evaluate and integrate new tools (e.g., Apache Kafka, Spark, Flink, Iceberg, Kubernetes) to enhance the platform.
- Leverage AI tools/Coding agents responsibly to accelerate development (e.g., code generation, testing, debugging, documentation), while maintaining a high engineering quality bar.
WHAT YOU'LL BRING TO THE TEAM
- Bachelor’s/master's degree in engineering, Computer Science (or equivalent experience).
- 12+ years of software engineering experience, with 5+ years in distributed data systems
- Proficiency in one or more system level programming languages (C#, Java etc.) and a willingness to learn new ones
- Strong understanding of object-oriented programming, architectural design patterns, system design and data structures & algorithms.
- Good grasp of multithreading, synchronization, asynchronous, cloud programming.
- Experience working with Cloud ecosystems such as Azure, AWS, GCP.
- Familiar with modern engineering practices, including agile development, CI/CD and DevOps.
- Experience with Docker, Kubernetes or other containerization technologies.
- Strong verbal and written communication skills, and experience in delivering critical time bound projects, managing timelines and team development.
- Proven track record of effectively collaborating with globally distributed teams.
- Ability to understand, communicate, provide feedback on, and drive complex technical decisions.
Nice to have
- Full-stack development experience
- Understanding of LLMs and the AI powered API automation.
- Experience with GraphQL, data mesh architectures.
- Familiarity with observability tools (Prometheus, Grafana)
#LI-VR1
Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned.
Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.
We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.
Location: Bangalore, India
About the company
Our mission is that “Any financial application can onboard any user, anywhere in the world, in 1 click.”
Transak provides onboarding to financial applications through authentication, KYC, risk checks, and fiat on/off ramps. This is a next generation of infrastructure for the next generation of financial applications that are built on blockchain and stablecoin rails. Our API and widget-based solutions are used by top partners like MetaMask, Coinbase, Ledger, and Trust Wallet to enable seamless onboarding of over 10 million users across over 450 active applications.
We have raised over $37M from top-tier investors including Consensys, Tether, and Animoca Brands.
About the role
We are looking for a Software Development Engineer 1 (Backend) to build and scale the APIs and services that power Transak's global on/off ramp platform. You will work primarily with Node.js, MongoDB, and Redis in a microservices environment, shipping production features that are used by millions of users across our partner applications.
This role is ideal for an engineer with 2–5 years of experience who writes clean, well-tested code, cares about correctness and performance, and wants to grow into owning services end-to-end. You will collaborate closely with senior engineers, product, and other pods, learning how we design for scale, reliability, and security in a regulated fintech environment.
Key Responsibilities
API & Service Development
Build, test, and maintain RESTful APIs and backend services in Node.js.
Model data effectively in MongoDB and use Redis for caching, queues, and rate limiting.
Contribute to microservices with clean, readable, and well-documented code.
Quality & Reliability
Write unit and integration tests; participate in code reviews.
Debug, profile, and fix issues in staging and production.
Follow secure coding practices in a compliance-sensitive domain.
Collaboration & Delivery
Understand the
product and business context
behind engineering requirements and contribute to shaping solutions, not just implementation.
Break down tasks, give reliable estimates, and ship iteratively.
Work with senior engineers on design and integrate feedback quickly.
Coordinate with frontend, product, and other backend pods on shared contracts.
Learning & Growth
Ramp up on distributed systems concepts and asynchronous communication patterns.
Proactively improve areas of the codebase you touch.
What We’re Looking For
2–5 years
of backend development experience.
Strong hands-on experience building APIs with
Node.js
.
Working experience with
MongoDB
and
Redis
.
Exposure to a
microservices
architecture.
Solid fundamentals in data structures, algorithms, and problem solving.
A good team player who collaborates well and gels easily with the team.
Strong problem-solving ability and product thinking — able to understand the underlying user/business problem, break down ambiguous requirements, evaluate trade-offs, and propose practical solutions rather than simply executing predefined tasks.
Nice-To-Haves
Exposure to distributed systems complexity (consistency, idempotency, retries, failure handling).
Experience with asynchronous communication (message queues, event-driven patterns, pub/sub).
Understanding of frontend systems and how they consume backend APIs.
Experience in high-growth fintech or Web3 startups.
Location: Singapore
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
As a Software Engineer, Research Technology, you will contribute to and grow into a small team building the software platform that powers researchers running compute-heavy analyses on very large event-stream datasets. The workload is analogous to a game engine’s replay and simulation loop, a telco’s real-time packet pipeline, or a bigtech streaming and analytics platform, applied to financial market data. Domain expertise in trading and market microstructure is welcome but not required on day one; we invest heavily in onboarding and pair every new engineer with a mentor.
The stack: modern C++ for the throughput-critical ingest and simulation core, Python plus C++ bindings for research tooling, distributed compute across HPC (Slurm today, evolving). You will help deliver high-quality data, fast and flexible compute tooling, robust simulation and deployment systems, and ergonomics that let researchers iterate quickly. Work spans raw exchange data ingestion, distributed HPC orchestration, and research tooling.
Key responsibilities
Design, build, and maintain high-performance, scalable software and data systems used by quant researchers and trading teams.
Implement raw exchange data pipelines in modern C++ and operate them at high-throughput scale.
Orchestrate and improve reliability of data and compute pipelines on HPC clusters.
Create ad-hoc computation frameworks and research tooling that let researchers slice, backtest, and iterate rapidly (Python + C++ integrations).
Develop and maintain simulation frameworks tightly integrated with HFT/live trading platforms.
Support training and deployment of quantitative models used in trading.
Monitor, manage, and troubleshoot distributed platforms.
Optimize codebases for performance, reliability, and resource efficiency across the full stack.
Required qualifications
2+ years of professional experience building large-scale, high-performance systems; daily use of modern C++ (>=17) and Python expected.
Strong CS fundamentals: data structures, algorithms, networking, OS, concurrency, and system design.
Data engineering fluency: designing schemas, choosing storage formats, understanding compression and I/O trade-offs, and operating pipelines that write and read hundreds of TB. Comfortable reasoning about columnar formats (Parquet / Arrow) or their equivalents in your domain (event logs, telemetry, replays).
Experience designing and operating services or platforms used by other technical users in data-intensive environments.
Comfortable supporting internal users and iterating on ergonomics and workflows.
Demonstrated ability to ship production software safely and repeatedly, with an obsession for data driven quality.
Excellent written and verbal communication; collaborative mindset and empathy
Desirable / nice-to-have
Rust experience alongside C++ and Python.
Experience running compute at cluster scale: job scheduling, resource management, retries, and reliability. Slurm, Kubernetes, Ray, Spark, or custom internal schedulers all count.
GPU programming experience.
Familiarity with ML/Deep Learning frameworks.
Prior finance or market-data experience, including low-level market connectivity.
Historical network / packet processing (telco, network appliances, packet-capture replay infrastructure) - any exposure.
Deterministic simulation and replay systems (game engines, cell simulators, distributed-systems testing frameworks) - any exposure.
Dev-productivity or platform-engineering for internal users (making other engineers or researchers faster and safer) - any exposure, including internship or open-source work.
What we evaluate in the interview loop
We evaluate CS fundamentals, ability to reason about correctness and performance under real constraints, code quality, communication, and clear signs of growth (asks good questions, learns fast, takes feedback well). Depth of prior industry experience is not the bar; trajectory is. We do not test market-microstructure knowledge in loops; that is taught on the job. Candidates from bigtech, telco, gaming, or research-computing backgrounds have transferable skills for this role and are actively encouraged to apply.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
#LI-PR1
Location: Remote
We're hiring a Junior Trader to join our trading team. You'll work directly with senior traders across strategies on centralized and decentralized venues, and take on your own responsibilities quickly.
We don't require prior DeFi experience. We do require that you're quantitative, technical, and able to move fast without breaking things.
WHAT YOU'LL DO
- Execute and manage trades across centralized (CEX) and decentralized (DEX) venues — order books, AMM pools, and concentrated liquidity positions.
- Monitor positions, inventory, and P&L in real time. Identify risks early and act on them.
- Build and improve the tooling the desk runs on: position trackers, reporting dashboards, hedging workflows, reconciliation.
- Analyze market and execution data to answer questions that matter — where slippage comes from, which pools are actually profitable, how our fill quality compares to the market.
- Develop real depth in market structure and protocol mechanics (AMMs, PMMs, lending protocols) and bring it back to the desk.
WHAT WE'RE LOOKING FOR
- 0–3 years of experience — recent graduates with strong technical credentials, or candidates from quant research, engineering, data, or markets-adjacent roles looking to move onto a trading desk.
- Strong quantitative foundation: probability, statistics, and the instinct to reach for data before opinions.
- Python preferred, ideally applied to financial modeling or data analysis (pandas, notebooks, working with messy datasets). Adjacent tooling — R, MATLAB, SQL, serious Excel modeling — counts.
- Real interest in crypto and DeFi. Professional crypto experience isn't required; demonstrated engagement with the space is.
- Sound judgment under pressure. Markets move at 3am and things break. We need someone who stays composed, thinks clearly, and escalates early.
- Precise communicator
- Self-directed and adaptable; comfortable operating with autonomy across time zones in a remote-first environment.
NICE TO HAVE
- Personal trading, market-making, or on-chain activity of any kind — a portfolio, a bot, an arbitrage script, a Dune dashboard.
- Familiarity with Solana tooling (Jupiter, Orca, Drift) or EVM DeFi (Uniswap, Aave, Curve).
- Exposure to algorithmic or systematic trading.
- Machine learning or large-scale data analysis (regression, tree-based methods, classification).
- Internships or prior work at a trading firm, market maker, exchange, or protocol.
WHAT YOU'LL GET
- Direct mentorship from traders running real capital — you'll learn by working alongside them, not from a curriculum.
- Responsibility as fast as you can earn it, with clear feedback on where you stand.
- Exposure across the full stack of a trading operation: execution, risk, tooling, counterparty relationships, and market structure.
- A front-row seat as equities, commodities, and crypto converge on-chain.
Location: Paris; Amsterdam; Singapore; London; Lausanne
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
ROLE SUMMARY
As a Research Engineer on Forge, you will turn real customer requirements into reliable training and deployment workflows. You’ll work end‑to‑end across model adaptation and post‑training (CPT/SFT/RL/distillation), evaluation, data, and infrastructure. The role bridges research experimentation and production constraints.
This role sits in Applied Science, with direct impact on client outcomes. You’ll collaborate closely with scientists, engineers, product, and customer‑facing teams to ensure Forge projects ship, are maintainable, and can be trusted by others.
Interview focus can vary (algorithms, infrastructure, evals, or data). You don’t need to match every bullet below to apply.
WHAT YOU WILL DO
- Build and improve post‑training and evaluation workflows (CPT/SFT/RL/distillation), turning prototypes into repeatable Forge “recipes”.
- Develop tools and pipelines for synthetic data generation, data curation, training, evaluation, and deployment.
- Debug and harden large‑scale ML systems: distributed training, scheduling/execution, checkpointing, observability, and reproducibility.
- Improve the Forge codebase via clear APIs, tests, documentation, and maintainable abstractions.
- Push the frontier of our RL training stack (e.g., high-throughput async rollout and scalable post‑training systems at frontier-model scale)
- Make sure Forge deployment is seamless and adaptable to a diversity of clients (hardware access, software stack, cloud and on-premises, …)
- Partner with researchers and infrastructure engineers to translate bottlenecks into concrete system improvements.
ABOUT YOU
- Strong Python engineering skills and experience working in large codebases (testing, code review, CI, operational ownership).
- Hands‑on experience with PyTorch, JAX, or similar.
- Strong systems and infrastructure fundamentals.
- Experience with LLM training or post‑training: fine‑tuning, RL, distillation, evaluation, and/or data pipelines.
- Excellent debugging skills in ambiguous systems (distributed jobs, data issues, quality regressions, infra failures).
- Clear communication with technical and non‑technical stakeholders.
- High agency, low ego, and comfort in fast‑moving, under‑specified environments.
NICE TO HAVE
- Distributed training experience (FSDP, DeepSpeed, Megatron, etc.).
- Cluster/orchestration experience (SLURM, Ray, Kubernetes, Kueue, Karpenter, Skypilot, etc.).
- Experience building reliable ML infrastructure, evaluation systems, or large‑scale data processing pipelines.
- Research experience in LLMs, agents, multimodal models, reasoning, code, or domain adaptation.
- Open‑source contributions, publications, or widely used internal tooling.
- Experience training multi‑billion‑parameter models (pre‑training or RL). Experience training on petabyte- and exabyte-scale datasets.
- Ability to identify bottlenecks across the stack and drive improvements from first principles.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Ottawa; Toronto; Montreal
Workplace: Hybrid
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Why This Role?
We're seeking an experienced Program Manager to join Cohere's customer-facing Program Management team, with a focus on Canadian public sector and defence accounts. This is a highly specialized role requiring an individual who understands technical program delivery, the technical complexity of frontier AI models and the unique requirements of government and defence organizations.
You will be the critical bridge between our cutting-edge AI capabilities and the specific needs of Canadian federal departments, provincial agencies, Crown corporations, and defence organizations. You'll navigate complex procurement processes, stringent security requirements, data sovereignty concerns, and regulatory compliance while ensuring our customers successfully deploy and scale our AI solutions.
In this role, you'll collaborate with our Strategic Customer team, Applied ML (AML) Engineering, Forward Deployed Engineering (FDE), Platform, Product, and Go-to-Market teams, serving as the technical program lead and trusted advisor for our most sensitive and high-impact government engagements.
Location: Ottawa required
Security Clearance: Active Top Secret clearance strongly preferred; candidates eligible and willing to obtain clearance will also be considered.
What You'll Do
Customer Program Leadership:
- Own end-to-end technical program delivery for Canadian public sector and defence customers, from initial deployment through production scaling
- Serve as the primary technical program point of contact for government customers, building trusted relationships with departmental CIOs, IT directors, and technical teams
- Translate complex government requirements (security, compliance, accessibility, bilingualism, data sovereignty) into actionable engineering plans
- Navigate government procurement processes, RFP responses, and contractual technical obligations.
Strategic Communication:
- Provide clear, timely, and objective communication across Cohere's engineering organization, customer stakeholders, and government leadership
- Translate between AI/ML technical concepts and government-appropriate language for decision-makers who may not have deep technical backgrounds
- Present technical roadmaps and status updates to senior government officials and departmental executives
- Represent Cohere's technical capabilities in sensitive government and defence contexts.
Complex Program Management:
- Create and manage project schedules that account for government timelines, security review processes, and ministerial approval cycles
- Identify and manage dependencies across government departments, security authorities, cloud service providers, and internal Cohere teams
- Navigate risks unique to government deployments: privacy compliance, Algorithmic Impact Assessments, Treasury Board submissions, security authorizations
- Drive alignment between product development priorities and specific government requirements.
Technical Delivery & Execution:
- Ensure on-time delivery of AI solutions that meet government-grade security, privacy, accessibility, and performance standards
- Coordinate technical work across multiple teams: model customization, security hardening, integration with government systems, bilingual support
- Establish governance checkpoints appropriate for high-stakes government deployments
- Problem-solve complex technical challenges in air-gapped, on-premises, or highly regulated environments.
You May Be a Good Fit If:
Required Experience:
- 6+ years of experience as a customer-facing Technical or Engineering Program Manager in AI/ML consulting, technology transformation, or enterprise software delivery.
- Excellent executive communication and stakeholder management.
- Experience working with government, defence, or heavily regulated customers (public sector, defence contractors).
- Proven track record managing complex, multi-stakeholder technical programs with stringent compliance requirements.
- Bachelor’s degree in a relevant field; advanced degree or technical certs a plus.
Technical Background:
- Strong understanding of enterprise software deployment architectures (cloud, on-premises, hybrid, air-gapped)
- Working knowledge of or experience with modern AI: LLMs, agentic systems, MCP, RAG, fine-tuning, evals, and responsible AI would be a strong differentiator
- Comfortable discussing API integrations, model inference, data pipelines, and ML operations with technical stakeholders.
Government & Defence Acumen:
- Deep understanding of how government organizations procure, evaluate, and deploy technology
- Familiarity with Canadian government requirements: data sovereignty, privacy laws (Privacy Act), accessibility standards, official languages obligations, security classifications
- Understanding of defence and national security considerations in AI deployment
- Experience with Algorithmic Impact Assessments or AI ethics frameworks is a strong asset
- Eligible to obtain Canadian government security clearance (Top Secret preferred)
Nice to Have:
- Active Canadian government security clearance (Secret or Top Secret) - strong preference for active Top Secret clearance
- Bilingual (English/French) proficiency
- Background in or strong familiarity with Canadian defence, intelligence, or critical infrastructure sectors
- Experience with GC Cloud services (Azure, AWS GovCloud) or Protected B/C environments
- Project management certification (PMP, PgMP) or government-specific methodologies.
Security Clearance Requirements
This role requires eligibility for Canadian government security clearance.
Strong preference will be given to candidates who currently hold an active Top Secret (TS) clearance, as this will enable immediate engagement with our most sensitive defence and national security customers.
However, we will also consider exceptional candidates who:
- Currently hold Secret clearance and are eligible for TS upgrade
- Do not currently hold clearance, but are eligible and willing to undergo the Top Secret clearance process
- Have a previous government security clearance that has lapsed
Please note that obtaining Top Secret clearance can take 12-18 months. Candidates without active clearance will work on non-classified public sector accounts while the clearance process is underway.
What Makes This Role Unique
This isn't typical program management—it's a highly specialized role at the intersection of frontier AI, national security, and public sector digital transformation. You'll work on some of Canada's most sensitive and impactful AI deployments, helping government organizations harness cutting-edge technology while maintaining the highest standards of security, ethics, and accountability.
If you're passionate about responsible AI adoption, understand the unique constraints and opportunities within government, and want to have an outsized impact on how Canada leverages AI to serve its citizens, this role is for you.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
- Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
- Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: EMEA
Reports to:
Regional Head of Compliance, EMEA (with matrix reporting to the OEM Board and Global Compliance)
Regulator:
Malta Financial Services Authority (MFSA)
About the Team
The compliance function at OKX is responsible for the overall compliance culture at the company. We are a team of risk-minded problem solvers who advise the business on the company's AML and regulatory obligations and enterprise risks.
OKX Europe Markets Limited is our MFSA-authorised investment services entity. Its licence covers the operation of a multilateral trading facility alongside our MiFID derivatives business. Operating a trading venue puts a distinct set of obligations on the firm: venue rulebook governance, member admission, market surveillance, transparency and reporting, systems resilience and orderly trading controls. This role owns compliance for that venue.
What You Will Be Doing
As Head of Compliance for the MTF, you will hold the MiFID compliance function for the trading venue and act as the MFSA-approved person for that role. The MLRO function sits separately; you will work alongside the OEM MLRO on financial crime matters that touch venue activity.
You will:
Own the MTF compliance framework end to end: policies, procedures, controls, registers and the compliance monitoring programme covering MiFID II, MiFIR, MAR and the MFSA Investment Services Rules applicable to MTF operators.
Act as the primary compliance point of contact for the MFSA on venue matters: authorisation variations, notifications, thematic reviews, RFIs, inspections and remediation.
Own the venue rulebook. Keep it current, ensure it is enforceable, and run the governance process for changes.
Oversee member and participant admission: eligibility criteria, non-discriminatory access, direct electronic access arrangements, sponsored access controls, and ongoing monitoring of members' compliance with the rules of the venue.
Oversee admission to trading of financial instruments, including the compliance assessment of new instruments, product classes and tokenised or DLT-based instruments where relevant.
Provide compliance oversight of orderly trading requirements: systems capacity and resilience, testing of members' algorithms, circuit breakers, order-to-trade ratios, tick sizes, market making schemes and clock synchronisation.
Provide compliance oversight of pre- and post-trade transparency, waivers and deferrals, transaction reporting, reference data and the accuracy and completeness controls behind them.
Advise the business on the interaction between the MTF and OKX's wider European footprint: the MiFID derivatives business, MiCA-authorised activity in OKX Europe Ltd, and the DLT Pilot Regime where a DLT MTF is in scope.
Deliver the annual compliance risk assessment, the compliance monitoring plan and the compliance report to senior management and the Board.
Build, lead and develop the MTF compliance team, and set the compliance training curriculum for venue-facing staff, trading operations and technology.
Give day-to-day advice to product, engineering, trading operations, legal and market operations in a fast-moving regulatory environment, including sign-off on venue changes, launches and marketing where required.
Oversee compliance aspects of outsourcing, critical third parties and operational resilience, including DORA obligations relevant to the venue.
Prepare Board, committee and matrix stakeholder reporting, and represent OKX with the MFSA, ESMA consultations, industry bodies and peer venue forums.
What We Look For in You
10 years plus in regulatory compliance within financial services, market infrastructure, fintech or crypto, including time at a senior or head-of-function level.
Direct experience of trading venue compliance: MTF, OTF, regulated market, SI or an equivalent execution venue. This is the core requirement.
Working knowledge of MiFID II and MiFIR as they apply to venue operators: Articles 18–20 and 31 (MTF operating requirements and rule monitoring), Articles 48–50 (orderly trading), MiFIR transparency and transaction reporting, and the associated RTS.
Practical experience of market abuse surveillance and MAR obligations for a venue operator, including STOR decision-making.
Experience developing and owning a compliance framework that has stood up to regulatory examination, and a track record of engaging supervisors directly.
Experience preparing and defending compliance reporting to a board or regulator.
Familiarity with MFSA Investment Services Rules and Malta's regulatory environment, or a demonstrable ability to get there quickly from another EEA jurisdiction.
Strong project management skills and the ability to run several regulatory workstreams to deadline.
Comfortable working independently and in a dispersed, cross-border team across multiple varied tasks.
Highly ethical, intuitive, and willing to question and challenge at every level of the business.
Strong written and verbal communication, with the ability to explain venue regulation to engineers and commercial teams.
Eligible for MFSA approval as the holder of the compliance function.
Bachelor's degree or equivalent practical experience.
Nice to Haves
Prior experience in the crypto industry, particularly tokenised instruments, crypto derivatives or a MiCA-authorised trading platform.
Experience with the DLT Pilot Regime or another distributed ledger market infrastructure.
Experience of a trading venue authorisation or a licence variation to add MTF operation.
Familiarity with surveillance platforms (Nasdaq Trade Surveillance, Eventus, Scila, Steeleye or similar) and with transaction reporting tooling.
International Compliance Association, ACAMS, CISI or equivalent compliance certification.
Perks &
Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
OKX Statement:
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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
.
Location: Belgrade; London; Berlin
Workplace: Hybrid
Perplexity is looking for an experienced analyst to help us build and improve our core search technologies. You'll work at the intersection of data analysis and engineering - designing metrics, building data pipelines, and improving the quality of our search and answer systems.
This role is hybrid in Belgrade, London or Berlin.
Responsibilities
- Find and diagnose quality issues in our search pipeline
- Design metrics from scratch to track and measure search quality
- Build datasets for model training, including LLM-as-a-judge labeling pipelines
- Improve search snippet quality and page selection algorithms for indexing
- Design and analyze A/B experiments to validate improvements
Qualifications
- 4+ years of experience as a data analyst or in a related role
- Strong coding skills — expected to write production-grade code at a mid-level backend engineer level
- Proficiency with SQL and Python
- Demonstrated hands-on experience with at least one of the following:
- Designing metrics from scratch (not just analyzing existing A/B experiments)
- Building labeling pipelines using LLM-as-a-judge
- Training ML models that shipped to production with measurable metric improvements
- Designing evals with known ground truth (e.g. SimpleQA, BrowseComp) or driving meaningful improvements on such evals
Nice to have
- Experience working on search-related products
- Knowledge of statistics and A/B experiment design
- Experience with Apache Spark or Databricks
Location: Belgrade; London; Berlin
Workplace: Hybrid
Perplexity is looking for an experienced analyst to help us build and improve our core search technologies. You'll work at the intersection of data analysis and engineering - designing metrics, building data pipelines, and improving the quality of our search and answer systems.
This role is hybrid in Belgrade, London or Berlin.
Responsibilities
- Find and diagnose quality issues in our search pipeline
- Design metrics from scratch to track and measure search quality
- Build datasets for model training, including LLM-as-a-judge labeling pipelines
- Improve search snippet quality and page selection algorithms for indexing
- Design and analyze A/B experiments to validate improvements
Qualifications
- 4+ years of experience as a data analyst or in a related role
- Strong coding skills — expected to write production-grade code at a mid-level backend engineer level
- Proficiency with SQL and Python
- Demonstrated hands-on experience with at least one of the following:
- Designing metrics from scratch (not just analyzing existing A/B experiments)
- Building labeling pipelines using LLM-as-a-judge
- Training ML models that shipped to production with measurable metric improvements
- Designing evals with known ground truth (e.g. SimpleQA, BrowseComp) or driving meaningful improvements on such evals
Nice to have
- Experience working on search-related products
- Knowledge of statistics and A/B experiment design
- Experience with Apache Spark or Databricks
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
Every request that hits Claude — from
claude.ai
, the API, our cloud partners, or internal research — depends on a set of decisions made before it ever reaches a model: where each request should be served and how much capacity each model needs right now. Getting those decisions right is crucial to satisfying throughput, reliability, and latency constraints. This group builds the control plane that makes those decisions for Anthropic's inference fleet and own the inference request path.
This is a deeply technical group. The engineers here design placement and load-balancing algorithms, build quantitative models of demand, capacity, and system performance, improve latency across kernel, network, and framework boundaries, and reason carefully about how a change to the fleet ripples through everything that depends on it.
You'll lead a strong group of ML platform, infrastructure, and distributed-systems engineers working alongside the teams that build our ML internals and cloud infrastructure. You need enough systems depth to make architectural calls, hire people who go deep, and see when a proposed change will ripple across the fleet. You're accountable for the health of the whole path from request to model: its efficiency, its reliability, and how well it evolves as models, hardware, and clouds change underneath it.
Key responsibilities
Own the technical roadmap for how the inference fleet is coordinated — where traffic goes, where capacity lives, how caches are placed, how fast the system reacts to demand, and the protocols that keep the control plane and the inference engines in sync
Partner with the product, inference engine, performance, and capacity teams to identify throughput, latency, utilization, and cost wins, then turn those into shipped improvements with measurable results
Build the group's habit of quantitative modeling: claim a win only when you can measure it, and know before you ship what the expected effect is
Set technical strategy for how the control plane evolves across heterogeneous hardware, across multiple cloud providers, and across all our serving surfaces
Run the group's operational backbone — on-call rotations, incident response, postmortem review, deploy safety — so the teams can ship aggressively without the system becoming fragile
Create clarity at a seam: this group sits between the API surface, the inference engines, capacity planning, and the cloud deployment teams
Develop and retain strong existing teams, and hire against a high technical bar
Coach engineers through a roadmap where priorities shift
Shape team structure as the scope grows: decide where the boundaries between problem areas should sit, and grow leads who can own each
Pick up slack when it matters. These are small teams on a critical path; sometimes the EM is the one unblocking a stuck initiative or synthesizing a design debate
Minimum qualifications
Engineering management experience leading teams on critical-path production infrastructure at scale
A deep systems background — load balancing, scheduling, cluster orchestration, autoscaling, cache-coherent distributed state, high-performance networking, or similar — with enough depth to make architectural calls about how a large fleet is coordinated and to evaluate candidates who go to the kernel and framework level
Experience shipping performance or efficiency improvements in large-scale systems, and the ability to explain, with numbers, what the impact was — including the cost side, not just the latency side
Experience running production infrastructure with real operational stakes: on-call, incident response, capacity events, deploy discipline
A results-oriented, impact-driven approach, and comfort working in a space where throughput, latency, cost, stability, launch timelines, and feature velocity all pull in different directions
Ability to build strong relationships across team boundaries — this is a seam role, and much of the job is making sure other teams can rely on yours
Curiosity about machine learning systems — you don't need an ML research background, but you should want to learn how transformer inference actually works and how that shapes the systems problems
Preferred qualifications
5+ years of engineering management experience
Experience with LLM inference serving — KV caching, continuous batching, request scheduling, prefill/decode disaggregation
Background in cluster schedulers, autoscalers, load balancers, service meshes, or fleet control planes at scale (Kubernetes internals, Borg-style systems, or equivalents)
Experience running workloads across multiple clouds or partner platforms, and the reliability and cost trade-offs that come with it
Familiarity with heterogeneous accelerator fleets and how hardware differences affect workload placement and rollout sequencing
Experience leading teams at supercomputing or hyperscaler infrastructure scale
Experience leading multiple teams or a group through rapid-growth periods where hiring, onboarding, and team splits competed with roadmap delivery
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:
$405,000
—
$625,000 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: Budapest, Vienna
XUND is a leading digital health scale-up that enables healthcare companies to digitize patient interactions and translate data into actionable insights.
It's our vision to empower patients to make better decisions. But we cannot do it alone: we need leaders, doers, and innovative minds to turn our vision into reality.
That is why we are looking for an ambitious, highly committed, and entrepreneurial team player who shares our
values of putting patients first, building an inspiring and open environment and challenging the status quo.
The Role
Join our team as a Senior Data Engineer and architect our company's new data backbone from the ground up. Your expertise in clinical ontologies and data modeling will turn messy, large-scale healthcare data into a unified, high-performing knowledge graph. You will work directly with medical experts, product teams and data scientists to translate complex clinical domain logic into clean, interconnected data structures & models that bring real value to patients and practicing doctors.
Your Responsibilities
Find creative uses of different database types and data pipelines to ensure patient data we collect and medical knowledge we produce stay consistent & interoperable.
Develop and integrate parts of our clinical inference engine relying both on rule-based and statistical models.
Design and extend clinical data models using domain ontologies (e.g., SNOMED-CT, FHIR, UMLS) to turn healthcare data into rich, queryable graph structures.
Translate research insights into scalable, production-grade software efficiently in an agile and close-knit team.
Work closely with medical experts to capture clinical workflows and validate ontology mappings.
Shape the technical direction, schema design, and engineering best practices across the engineering team.
Your Profile
MSc or PhD in computer science, mathematics, or related field.
+4 years of proven industry experience in working with medical data or in data engineering (or appropriate academic research).
Strong knowledge of graph databases, query languages, search algorithms and/or inference systems (e.g. Neo4j, Memgraph, Cypher, SQL, Datalog).
Extensive experience in software development with Python and/or TypeScript – being comfortable with switching languages/frameworks.
Resident in the EU with a valid work permit.
Nice to have
Familiarity with concepts of statistics, formal logics and/or machine learning.
Experience with EHRs and clinical data exchange formats (e.g. FHIR).
Deep interest in the area of Knowledge Representation and Reasoning (KRR).
Experience with independently managing cloud environments (ie. GCP) and CI/CD pipelines.
Your Benefits
Join one of Europe's leading healthtech scale-ups and make a real impact in a purpose-driven environment.
Take on exciting challenges while working in a dynamic space where creativity and fresh ideas are always encouraged.
Benefit from a dedicated training budget and professional development time, because we believe in growing together and supporting your skill-building journey.
Work where you are most productive – remotely from home or from one of our offices in Vienna, Budapest, and Berlin.
Connect with your team through company-wide celebrations and optional local gatherings, always packed with great food and zero pressure.
Take on exciting challenges while working in a dynamic space where creativity and fresh ideas are always encouraged
Work where you are most productive – remotely from home or from one of our offices in Vienna, Budapest, and Berlin.
Connect with your team through company-wide celebrations and optional local gatherings, always packed with great food and zero pressure.
Be part of a vibrant, open culture with flat hierarchies and direct communication, where your voice matters and everyone’s ideas are heard.
Plus, office dogs! Bring your four-legged friend to work or hang out with the resident dogs to break up the day.
Salary & Compensation
Our salary ranges are determined by role, level, and location. The minimum starting salary for this position is:
Budapest: 1,900,000 HUF gross / month
Vienna: 3,954 EUR gross / month (pursuant to the
IT collective agreement
)
Willingness to overpay is given and depends on the respective qualification and experience. On top of that, we also let all our employees participate in our Virtual Stock Option Plans (VSOPs), ensuring that they can directly benefit from our collective success.
At XUND, we know that innovation happens when different perspectives come together. Whether you’re a coding whiz, a health enthusiast, a spreadsheet guru, or a creative problem-solver, we value what you bring to the team. If you’re excited about this role but feel like you don’t “check all the boxes,” don’t worry – we still want to hear from you! We’re committed to fostering an inclusive space where everyone’s contributions are valued and respected, and we encourage candidates of all backgrounds, identities, and experiences to apply. If you’re eager to make an impact, we’d love to hear from you!
Location: Tbilisi, Georgia
Workplace: remote
Join Our Vision: We are building the next generation of Spatial Media - a new way people experience videos through interaction, multi-user presence, haptics, AI, and immersive storytelling.
DeoVR is the leading immersive streaming technology serving multiple enterprise customers and millions of users globally.
We are now expanding the boundaries of what video can be - moving from passive watching to active, interactive, multi-user journeys.
If this excites you more than it scares you, you are in the right place.
The Role
We're looking for a seasoned
Senior ML CV engineer
to drive the technical direction of
AI Mosaic
- our production computer vision product that automatically applies accurate, form-fitting mosaic to video, replacing manual frame-by-frame masking with same-day automated output. AI Mosaic already runs in production and has processed titles for major Japanese distribution platforms.
You'll own more than implementation - you'll improve the pipeline, spot where it can go further, and drive the changes that push the product forward.
What You Will Do
Deploy and continuously improve production ML pipelines for AI Mosaic
Research and improve Computer Vision algorithms for automated content censoring and precise mosaic generation
Improve algorithms for high-resolution video matting, segmentation, and form-fitting masking
Develop spatiotemporal ROI extraction and tracking algorithms to ensure accurate and consistent masking across video frames
Develop video understanding, relevant region detection, and motion recognition algorithms where they can improve masking quality
Improve model accuracy, processing speed, stability, and scalability for high-resolution videos and batch workloads
Proactively identify technical and product improvement opportunities and drive them from initial hypothesis to production
Work closely with product and engineering teams to translate user feedback and business needs into practical ML solutions
Tech Stack
Must Have:
PyTorch,
PyTorch-Lightning, MLFlow, Experiment Tracking
Highly Required:
Camera Intrinsics
Nice to Have:
Inference Optimization:
TensorRT, ONNX Runtime, Triton Inference Server
Video CV:
Spatiotemporal Tracking & Continuity
Domain Knowledge:
VR, 3D-geometry
Stack (ML): Python, C++, Unity, PyTorch,
PyTorch-Lightning,
MLflow, DVC, OpenCV, AirFlow, Qdrant, Redis, MongoDB, RabbitMQ, MMLib, Feast
Stack (Company): PHP, C#, Unity, Go, Unity, WebGL, K8s
What We Are Looking For
Proven experience developing and deploying Computer Vision models in production, with the ability to independently own complex ML solutions
Strong programming skills in Python and solid knowledge of data structures and algorithms
Ability to build extendable, reproducible, and maintainable ML pipelines
Strong product mindset, with the ability to connect technical and model improvements to user needs and measurable product impact
Proactive approach and ability to identify and initiate technical and product improvements
BSc in Computer Science, Mathematics, or a related field
Bonus Points
Nice to have experience in anything mentioned in the Technical Stack section: C++ and etc.
Experience deploying in edge (mobile, VR headset) devices
Experience in shader creation (glsl, hlsl, etc.)
MSc in CS, Math or related
Hiring Process
HR screening (30 min)
Team Interview with Engineering Lead (30 min or 1 hour)
Tech Interview (1 hour)
CEO Interview (30 min)
💼
Explore our hiring process
What We Offer
Please note, that this is a fully remote contract role. B2B cooperation only – you will work with us as an independent contractor operating through your own legal business entity (e.g., sole proprietorship, limited company, or equivalent).
The chance to be part of a pioneering team in a rapidly evolving industry
Direct impact on the future of immersive media
Flexible working hours and remote-first culture
A team that values initiative, clarity, and collaboration
Access to all tools and tech you need
Unlimited DeoVR Premium
A work environment where ideas matter and people are treated with respect
Stay Connected
Join
our Facebook community
and follow updates as we advance interactive VR experiences through cutting-edge technology. Join us and step into a role where legal expertise meets innovation.
🌎 WE WELCOME APPLICATIONS FROM TALENT WORLDWIDE AND PROVIDE RELOCATION SUPPORT TO HAMBURG, GERMANY FOR THOSE READY TO JOIN OUR TEAM
ОфисBucharest
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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