Вакансии

- Тестирование процесса декомпозиции монолитного приложения и переноса бизнес-функций в микросервисы; - Проверка сохранения поведения системы, API-контрактов, интеграций, миграции и обработки данных;

Развивать ядро платформы: фреймворк Data Vault, обвязку Airflow, lineage-инструменты — проектировать API, которыми будут пользоваться другие инженеры, и нести за них ответственность. Писать библиотеки и фреймворки на Python: клиенты к источникам, инструменты тестирования пайплайнов, обёртки над инфраструктурой.

Location: Paris; Amsterdam; Munich; London; Berlin 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. THE TEAM Mistral is building a sovereign AI cloud for Europe. Our customers in finance, healthcare, and the public sector run frontier models on European-jurisdiction infrastructure, and the Cloud Platform team builds the systems that make that possible — compute orchestration, Kubernetes, bare metal, storage, networking, and the datacenter fleet that runs it all. We run it all on our own metal, our own network, our own datacenters — which means when something breaks, the fix is ours to write. European Compute Units let enterprises commit to multi-year capacity on that infrastructure, and we are scaling toward a gigawatt of compute across Europe by 2030. You will design and ship the layer every sovereign AI deployment depends on and shape the team building it. THE ROLE This is a people-leadership role from day one. You will manage the team — hiring, coaching, performance, growth paths, honest feedback — while staying close to the code: roughly half your time in architecture decisions and the hardest technical problems the team faces, the other half leading your squad. If you are looking for a senior IC role, this is not it. You will lead the team building our serverless containers product: the way developers run AI apps, MCP servers, APIs, and managed workers on our cloud without thinking about servers. Push a container, get an endpoint, scale from zero to thousands of instances and back down — across CPU and GPU. On a hyperscaler, the serverless layer is a product someone else built. Here you own it end to end: the scheduler that decides where a container lands, the routing path a request takes, the machinery that turns a scaled-to-zero service into a warm instance before a customer notices. All of it runs on metal, network, and datacenters we own. That tension is the product: scale-to-zero economics with cold starts in milliseconds, autoscaling that absorbs a launch spike without a config change, GPUs scheduled onto containers the way other platforms schedule CPU. The customers betting on this layer are the developers building the next generation of AI software on European infrastructure. WHAT YOU WILL DO - Own the container platform end to end: image delivery, placement, request routing, scale-up, scale-to-zero — across CPU and GPU. - Make cold starts a solved problem: snapshotting, prewarming, image-layer caching, whatever it takes for scale-from-zero to feel instant. - Treat AI workloads as the normal case: GPU-backed containers, streaming responses, long-lived connections, MCP servers that cost almost nothing while idle. - Write Go alongside your team and own the architecture and the hardest implementation decisions. - Grow the engineers, not just the software — set the standard for ownership and coach people past their comfort zone. - Own people management for the team: hiring, performance, growth paths, and honest feedback. - Partner with Product Managers to turn platform decisions into a product developers want to deploy on. WHAT WE'RE LOOKING FOR - 2+ years of real people leadership. You have managed engineers — hired, coached, given honest feedback, and grown them. Hands-on contribution matters here, but this role is judged on the team you build and lead, not just the code you write. - You have shipped production systems in Go. Not dabbled. Shipped. - You have built container or workload platforms — orchestration, scheduling, isolation, request routing — not just deployed onto someone else's serverless platform. - Deep Linux: namespaces, cgroups, image layers, page cache — comfortable well below the application layer. - Multi-tenancy instincts: density, isolation, and fairness when hundreds of customers share one fleet. - Significant experience building complex backend or infrastructure systems. - You have partnered with product, design, and business teams to ship software that reached real users. - A low-ego, team-first mindset. We care less about your exact domain and more about whether you are the kind of technical force other engineers want to work alongside. 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: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. 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. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity We are looking for Mobile Engineers to join our Compliance engineering team. In this role, you will build secure, regulation-compliant, and high-trust mobile solutions that power global onboarding, identity verification, risk control, and regulatory compliance systems. We are open to candidates across a wide spectrum of experience. Whether you are an engineer early in your career eager to master mobile security and regulatory technology, or a seasoned practitioner who can architect resilient systems and drive technical direction across global markets, you will find high impact and technical depth here. You should be self-driven, hungry to grow, and motivated by solving critical real-world engineering challenges. What You'll Be Doing Build, maintain, and scale native iOS features and user flows using Swift and modern iOS frameworks. Collaborate with Product, Design, and Backend Engineering to translate functional requirements into smooth, responsive mobile experiences. Integrate third-party SDKs, native frameworks, and hardware capabilities (such as camera APIs, biometrics, or local security features) with a focus on UX and performance. Contribute to mobile client architecture, keeping the codebase modular, testable, and maintainable. Participate in code reviews, testing, and continuous optimization to maintain high iOS engineering standards. Leverage modern development tools and AI coding assistants to streamline your daily workflow and accelerate delivery. Diagnose and fix edge cases, performance bottlenecks, and production bugs to ensure a rock-solid iOS app experience. What We Look For In You Hands-on native iOS engineering experience with Swift, SwiftUI, and UIKit . Solid grasp of software engineering principles, memory management, multithreading, and mobile system design. Experience integrating RESTful APIs into production iOS applications. Commitment to writing clean, well-tested, and maintainable code. Strong problem-solving mindset with a desire to build high-quality software. Openness to using modern developer tools and AI coding assistants (e.g., Claude Code, Codex) in your everyday coding workflow. Nice-To-Haves Exposure to mobile CI/CD pipelines (e.g., Fastlane, GitHub Actions, Xcode Cloud). Experience working with modular iOS architectures or building internal shared SDKs/frameworks. Familiarity with unit testing frameworks (XCTest) and UI testing on iOS. Experience with feature flagging, analytics, or A/B experimentation frameworks. 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! #LI-ML1 #LI-ONSITE 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 .

• 5+ лет опыта в прикладном ML/AI с ответственностью за системы end-to-end. • Уверенное владение Python.

Задачи: Проводить ручное тестирование нового функционала и регрессионное тестирование, проверять исправления дефектов. Разрабатывать тест-кейсы, готовить тестовые данные, участвовать в разработке методики тестирования.

5+ лет коммерческого опыта с Python и реальный production-опыт разработки AI-агентов, LLM orchestration и RAG. Практический опыт с LangGraph / LangMem, Qdrant или аналогами.

Location: London Workplace: Hybrid ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for a Data Scientist to take ownership of the datasets and evaluation workflows that underpin our AI Safety work. You'll turn real-world product data into reliable, well-structured datasets for training and evaluating models, and help build the processes and infrastructure to continuously assess how those models perform in production. This is a hands-on role at the intersection of data science, ML, AI safety, and policy. You'll work closely with safety researchers, engineers, and policy specialists to translate complex safety requirements into practical data and evaluation systems - starting hands-on with collection, analysis, and labelling, then building the methodologies, contributor networks, and quality standards that let this work scale. In this role, you will - Own safety datasets end-to-end: collection, cleaning, labelling, quality control, versioning, and readiness for training and evaluation. - Translate safety policy into clear, consistent labelling and evaluation criteria, working closely with policy specialists. - Design and manage labelling processes, including sourcing, onboarding, and overseeing external contributors to a high quality bar. - Build evaluation workflows for models in production, using real-world data to track performance and surface issues. - Develop lightweight Python/SQL pipelines and tooling to make data work faster and reproducible, partnering with ML engineers on what "training-ready" looks like. Who you are - Experience as a Data Scientist, or similar, working with real-world datasets and ML models. - Strong grasp of what makes a good dataset: collection, cleaning, sampling, labelling, quality control, evaluation. - Comfortable with Python and SQL for analysis and practical data workflows. - Strong critical thinking and judgement - comfortable with ambiguity and nuance, and able to turn complex guidelines into consistent, scalable decisions. - Autonomous and a clear communicator, able to work across disciplines (policy, engineering, research) in a fast-moving, still-forming environment. Bonus points - Experience in AI safety, trust & safety, content moderation, or fraud/abuse detection. - Experience building datasets or evaluation frameworks, or with adversarial/safety-focused ML. - Experience managing human-in-the-loop labelling processes, dataset versioning, or ML pipeline tooling. - Experience operationalising guidelines with policy or legal teams. Location This role is based in London, where you'll work closely with our AI Safety and Policy teams. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

We’re looking for an experienced Data Engineer with strong Java/Scala, Apache Flink, and Kafka skills to build and optimize real-time data streaming solutions in an enterprise environment. 💼 4+ years of experience with Java/Scala, Flink (or Beam/Spark Streaming), and Kafka.

Задачи: — проектировать, проверять и масштабировать структурное оборудование для роботизированных рук. Требования: — знание ASME, SolidWorks, FEA, Corrective Action, GD&T, Nx, CATIA, CAD. Условия: — работа в офисе в Сан-Хосе, Калифорния. — зарплата от $120,000 до $250,000 в год.

Figure is looking for a Security Engineer Intern to assess systems and build security and privacy controls.

Задачи: — проектировать, тестировать и внедрять аппаратные компоненты гуманоидных роботов. Требования: — владение ASME, FEA, проводкой (wire harness), MATLAB, GD&T, коммуникационными шинами, прототипированием, электромеханической интеграцией, моторами, актуаторами, CAD, сенсорами. Условия: — зарплата от $120,000 до $250,000 в год.

OpenRouter is looking for a Software Engineer Ori to build and ship AI agent products across CLI, desktop, Slack, and cloud environments.

OpenRouter is looking for a Security Solutions Engineer to lead customer security reviews and provide accurate technical security guidance to enterprise buyers.

Figure is looking for a Firmware Engineering Intern to develop firmware, automate hardware testing, support CI/CD, and integrate hardware and software.

OpenMind is looking for a Machine Learning Engineer to build, deploy, and optimize multimodal perception and reasoning models for physical robots.

We’re looking for an experienced Data Engineer with strong Java/Scala, Apache Flink, and Kafka skills to build and optimize real-time data streaming solutions in an enterprise environment. 💼4+ years of experience with Java/Scala, Flink (or Beam/Spark Streaming), and Kafka.

Location: Москва Мы команда GigaData, занимаемся сбором и обработкой больших объемов данных для систем поиска и обучения фундаментальных моделей. Ищем Senior DevOps Engineer, который будет отвечать за надежность, масштабирование и автоматизацию инфраструктуры сбора данных: серверов, прокси, сетевых ресурсов, мониторинга и CI/CD. Обязанности * проектировать, развивать и сопровождать production-инфраструктуру * обеспечивать надежность, доступность и масштабируемость сервисов * автоматизировать provisioning, конфигурацию, деплой и эксплуатационные операции * развивать инфраструктуру прокси-серверов, IP-пулов и сетевых ресурсов * настраивать мониторинг, алертинг, логирование и observability * расследовать инциденты, устранять root cause и повышать отказоустойчивость * оптимизировать стоимость и использование серверов, сетей и трафика * работать с провайдерами, дата-центрами и внутренними командами Требования * опыт работы DevOps / SRE / Infrastructure Engineer от 4 лет * уверенное администрирование Linux в production * опыт эксплуатации высоконагруженной или распределенной инфраструктуры * хорошее понимание TCP/IP, DNS, HTTP/HTTPS, routing, NAT, firewall, load balancing * опыт с Docker и Kubernetes * опыт с Ansible, Terraform или другими IaC-инструментами * опыт настройки CI/CD * опыт с Prometheus, Grafana, ELK/Loki или аналогичными системами * умение расследовать сложные инфраструктурные инциденты * самостоятельность, системное мышление и ответственность за production ### Будет плюсом * опыт эксплуатации крупных парков прокси-серверов * опыт работы с IPv4-подсетями, IP-пулами и сетевыми ресурсами * понимание ASN, BGP, RIR, WHOIS/RDAP * опыт работы с API хостинг-провайдеров * навыки автоматизации на Python, Go или Bash * опыт capacity planning и оптимизации инфраструктурных затрат Условия * стабильный оклад и премии по результатам работы, ежегодный пересмотр зарплаты * комфортный современный офис * гибридный формат работы: встречаемся очно в офисе 1 раз в неделю * корпоративный спортзал и зоны отдыха * уникальная система обучения Сбера для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте * расширенный ДМС и льготное страхование семьи * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * бесплатная подписка СберПрайм, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера * корпоративная пенсионная программа