Вакансии

Location: Москва Центр практического ИИ — подразделение Сбера, которое занимается сложными AI-проектами и решает нетривиальные задачи банка и экосистемы Сбера. Наша команда строит и дообучает линейку LLM под банковские сценарии и запускает модели в пром в "жёстких" контурах: локальные устройства / закрытые контуры / строгие SLA по задержкам. Работа включает полный цикл: данные → дообучение → оценка качества → оптимизация инференса → нагрузочное тестирование → внедрение. Первый этап отбора на эту вакансию – общение с AI-рекрутером. После отклика ждите сообщение от него в Сберчате, диалог займёт примерно 10 минут. Задача AI-рекрутера — уточнить недостающие детали и ускорить рассмотрение вашей кандидатуры. AI-рекрутер только начинает свой путь, поэтому просим относиться с пониманием. Ваш опыт и участие помогут сделать его удобным и полезным для всех! Обязанности ### Вы будете: * обучать LLM на GPU-кластерах * собирать, очищать и готовть датасеты для pre-training и fine-tuning * анализировать результаты экспериментов и улучшать качество моделей на основе метрик * оптимизировать инференс, проводить нагрузочное тестирование и внедрять обученные модели. Требования ### Мы ожидаем, что вы: * имеете подтвержденный практический опыт обучения LLM (pre-training, fine-tuning, aligment) в исследовательских или production-задачах * глубоко понимаете теоретические и практические аспекты LLM: архитектура, токенизация, построение пайплайнов, batching, mixed precitions, распределенное обучение, дебаг неудачных итераций обучения * имеете опыт разработки на Python от 3 лет, пишете чистый и поддерживаемый код в рамках современных ML-проектов * внимательно относитесь к деталям и умеете в коммуникацию с людьми. Будет плюсом, если вы: * разрабатывали AI-агентов (tool-using, planning, multi-step workflows), знакомы с агентными фреймворками и архитектурами * умеете пользоваться инструментами логирования экспериментов (Weights & Biases, MLflow, Langfuse и тд.) * умеете в оптимизацию инференса и хостинг моделей в production * дизайнили и поддерживали eval-пайплайны для LLM с метриками, дашбордами, экспериментами, и проверками на регрессию моделей. Условия ### Мы предлагаем: * комфортный современный офис г. Москва, рядом с метро Кутузовская * возможность выбрать удобный график – офис/гибрид (с посещением офиса не менее 3х дней в неделю) * ежегодный пересмотр зарплаты и годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

• Опыт работы в сфере AI/ML от 5 лет.

Location: Москва Центр квантовых технологий Сбера проводит прикладные исследования в области оптических вычислений и развивает научно-технологические направления с потенциалом практического применения. Команда формирует и проверяет бизнес-гипотезы, превращая исследовательские идеи в работающие вычислительные решения. Мы ищем техлида, который возглавит разработку компиляторов для эффективного исполнения вычислений на современных ускорителях. Это возможность влиять на архитектуру ключевого технологического направления и работать на пересечении компиляторных технологий, ML и высокопроизводительных вычислений. Обязанности * Руководить командой разработки компиляторов * разрабатывать и развивать компоненты компилятора: промежуточное представление, оптимизации и codegen * использовать и расширять LLVM/MLIR, TVM, XLA или Triton для решения задач проекта * применять знания архитектур GPU/NPU и работать с CUDA или OpenCL * оптимизировать графы вычислений: выполнять fusion, tiling и memory reuse * интегрировать компиляторные решения с ML-стеком, включая PyTorch и ONNX * участвовать в формировании и проверке бизнес-гипотез центра. Требования * Опыт руководства командой разработки * опыт разработки компиляторов: работа с IR, оптимизациями и codegen * практический опыт хотя бы с одним из инструментов: LLVM/MLIR, TVM, XLA, Triton * понимание архитектур GPU/NPU * опыт работы с CUDA или OpenCL * практический опыт оптимизации графов вычислений: fusion, tiling, memory reuse * знакомство с ML **Будет плюсом:** * Опыт разработки компиляторов для специализированных ускорителей * опыт анализа и адаптации open-source компиляторных решений * знание внутреннего устройства PyTorch или ONNX Runtime * опыт профилирования и оптимизации производительности ML-моделей * интерес к оптическим и квантовым вычислениям * публикации или выступления в области компиляторов, ML-систем или высокопроизводительных вычислений * навыки работы с генеративными AI-моделями * опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов * инструментальное владение AI для анализа, генерации и автоматизации. Условия * Комфортный офис в Москве * офисный формат работы * конкурентная компенсация (оклад и премии по результатам деятельности) * ДМС c первого рабочего дня, страхование от несчастных случаев и тяжелых заболеваний * материальная помощь и социальная поддержка, корпоративная пенсионная программа * дисконт-программы от компаний партнеров * бесплатный фитнес на территории работодателя * подписка Прайм с возможностью совместного использования на трёх близких * внешнее и внутреннее профессиональное обучение: семинары, тренинги, конференции, корпоративная библиотека.

Location: Limassol, Cyprus Workplace: fully Sumsub is the first AI-powered trust infrastructure for compliance operations at scale. It connects identity and business verification, fraud prevention, transaction monitoring, and risk workflows, helping teams reduce manual work and enter new markets. Trusted by over 4,000 clients across financial services, crypto, mobility, trading, marketplaces, education, and iGaming, including Bybit, Bitpanda, Wirex, Avis, Vodafone, Duolingo, and Kaizen Gaming. Sumsub is certified as a Great Place To Work® in the US, recognized as a TIME & Statista Excellent Workplace, honored with the TrustRadius Tech Cares Award for Diversity & Inclusion, and rated 4.7 out of 5 on Glassdoor. Our 1,000+ people around the world back it up, too: 92% are proud to be Sumsubers, and 90% say their work is interesting and challenging. Now we are looking for a AI Engineer (LLM focus) to build and scale the core intelligence behind Summy AI Copilot , our agentic assistant for compliance officers. This is an exciting opportunity to own a cutting-edge GenAI product, pushing LLMs beyond basic text generation to execute complex reasoning, and autonomous tasks. What You Will Be Doing: Drive Summy AI Copilot: Own the core intelligence behind our AI assistant for compliance officers, taking features from concept to production rollout and operation. Agentic Orchestration: Design and build robust, multi-turn AI agents (using frameworks like LangGraph) capable of complex reasoning, context retention, and autonomous action. LLM Observability & Evaluation: Set up comprehensive tracing, monitoring (e.g., LangFuse), and evaluation pipelines (LLM-as-a-judge) to track quality, latency, and token cost. Agentic Experience: Evolve our public MCP server and Agent Skills so that external AI agents (Claude, ChatGPT, etc) can work with Sumsub reliably and securely. Pragmatic Iteration: Start with elementary, solid baselines and iteratively scale complexity based on real-world production metrics and A/B tests. About You: Experience: 5+ years in Software/Data/ML Engineering, with 1+ years explicitly focused on building and shipping production-grade GenAI/LLM systems. In-Depth LLM Knowledge: You understand how LLMs work under the hood. You know how to push models far beyond basic text generation (e.g., structured extraction, tool calling, cost-aware routing). LLM Stack Mastery: Hands-on experience with agentic orchestration (LangChain/LangGraph) and modern LLM APIs (Claude, Gemini, OpenAI). Engineering Excellence: You write production-ready code for microservices (Java/Dropwizard), with experience in cloud deployments (GCP/AWS, Docker, Kubernetes). Ownership: You own the system from early talks with customers to operating it in production. Nice to have Background in classical NLP, traditional MLOps, or large-scale data engineering. Familiarity with compliance, anti-fraud, KYC/AML, or fintech domains. Experience shipping production RAG systems. What We Offer: Remote-first, trust-based culture. Work from the place that works best for you. No mandatory office days, no attendance trackers. In some locations, we provide offices or coworking spaces, but the choice is yours. True flexibility. We do not fix you to a 9-to-5 schedule. You can adjust your working hours when needed, as long as your day stays productive and in sync with the team. Extra time off. Your birthday is a holiday here. Add to that 10 personal days each year, seven sick days without paperwork, and extra time to enjoy Christmas and New Year. Time to rest is part of the deal. Work that matters. Our mission is to build a digital world that is secure, accessible and inclusive for everyone. From fighting fraud to making online services easier and safer to use, your work will have a real impact on how people experience trust online. Compensation. We offer fair and transparent pay, benchmarked to the market. Truly global. We work across continents and time zones, with teammates and customers from all over the world. You will run campaigns that cross borders, cultures, and languages, and see your ideas land worldwide. Growth built in. Clear goals, open feedback and personal development plans. We support your progress with learning opportunities and by covering role-specific events, from design conferences to marketing forums. Celebrating your big moments. We are proud to support you through life’s biggest journeys with dedicated financial bonuses for both marriage and welcoming a new baby to your family. Team offsites. Sometimes just Slack is not enough. That is why we meet in person a few times a year. Trips are fully covered, so you can meet, collaborate, and recharge together. Getting you set up. We make sure you have access to the tools and hardware you need to do your work well. Friendly by design. Our logo is a dog for a reason. We keep things human, open and kind. We welcome individuality, quirks and different perspectives, because that is what makes our work smarter and more fun. The hiring stages: TA screening -> Hiring Manager Interview -> Technical Interview -> Final Interview. Sounds like a great opportunity for your career development? Then go ahead and apply! We are a global community of innovators, creators, and thinkers, and we believe that diversity fuels our innovation. Sumsub is proud to be an equal opportunity employer, committed to building a diverse and inclusive workforce. We welcome applications from people of all backgrounds, cultures, genders, experiences, abilities and perspectives. Join us in shaping the future inclusively. We believe in fair and transparent compensation. Salaries vary depending on work location and applicable local market conditions. This role is open to candidates in multiple countries, and compensation differs based on the candidate’s confirmed work location. For this reason, a single universal salary range is not included in this job posting. The applicable work location will be confirmed early in the recruitment process, and the relevant compensation information for that location will be shared in writing, in line with local requirements.

-В первую очередь ищем сильного человека на усиление команды DE, поэтому фокус на разработку и оптимизацию текущих ключевых регламентных процессов. -50% времени - реализация задач по развитию DWH (анализ, разработка объектов DWH, dbt-моделей, потоков данных).

5+ лет опыта разработки на Python.

Lead a team of 3-4 engineers and take responsibility for its effectiveness, technical quality, and delivery. Work closely with your Product Manager to understand customer problems, shape solutions, scope projects, and set priorities.

Location: Toronto; San Francisco; Canada; United States; New York; Ottawa; 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 building the foundational infrastructure that will define how the world thinks about and deploys AI, and we want the sharpest, most driven, and most curious people to help us do it. As the head of the Data Foundation pillar of our Analytics and Data Insights team, you’ll lead the team that makes Cohere’s data trustworthy, governed, and available: the warehouse every analytics surface runs on, the pipelines that keep it fresh, the access model that keeps it secure, and the agentic analytics layer that lets anyone at Cohere (and their agents) ask questions of governed data directly. Your team owns the full data lifecycle. You’ll run ingestion into BigQuery from internal and external data sources, orchestrate it in Airflow and Cloud Run, model the data warehouse in dbt, and serve the results through Looker, export APIs, and customer-facing analytics surfaces. Everything is provisioned as code in Terraform, and governance is part of the design: VPC service controls, IAM patterns, and documented access paths that let people and agents move fast without putting data at risk. This role is both highly visible and highly impactful, and you’ll inherit a solid structure on which to build the rest of the stack: a Terraform-provisioned warehouse framework, dbt modeling conventions, an alerting and incident-response practice, and documentation patterns to keep everything discoverable. The roadmap is set with big bets in flight: scaling that framework across the company, standing up an internal analytics agent with a real eval harness, and consolidating institutional knowledge into a self-correcting and self-maintaining system that keeps context centralized, current, and documented, rather than dispersed and in people’s heads. Responsibilities As the head of the Data Foundation pillar, you will: - Build and lead the team. Hire and grow a team of data and infrastructure engineers; set the technical bar; develop strong talent and raise team performance, building leadership capability beneath you. - Set the roadmap from company strategy. Own and sequence the Data Foundation roadmap: the warehouse buildout, the agentic analytics program, data governance, and the platform work that unblocks our other pillars. You’ll make the trade-offs and carry the cross-functional impact that comes with them. - Own the data platform end to end. Ingestion (managed connectors and an open-source connector framework), orchestration on Airflow and Cloud Run, warehouse modeling in BigQuery with dbt (raw, core, mart layers), and serving through Looker, export APIs, and semantic layers. All of it provisioned as code in Terraform. - Own data governance. Define how humans, service accounts, and agents get access to governed data: VPC service controls, IAM patterns, documented onboarding paths, audit logs, and sensitive requests (including legal holds) handled to deadline. - Operate for reliability. Run the alerting and anomaly-detection framework, own data freshness SLAs, lead incident response and postmortems, and turn every incident into a durable standard so the same class of failure doesn’t recur. - Lead the agentic analytics program. Wire the semantic layer into an internal analytics agent, build the eval harness that measures its accuracy, and make the eval-driven call on where AI earns its way into production. Apply the same discipline to automating data engineering work itself. - Set the standard for analytics across the company. The medallion framework, naming conventions, and testing patterns your team maintains become the way other teams ship analytics data. You’ll onboard new domains onto it and keep the docs accurate to how the systems actually work. - Partner across the org. Work with the North product and engineering teams on the analytics surfaces that ship in the product (including a customer-facing analytics export), with Business Insights on marts for the business, with Security on data governance, and with Legal on compliance-critical data requests. QUALIFICATIONS You may be a good fit, if you have: - 10+ years of experience across data engineering, data infrastructure, or analytics platform work, with a strong management track record leading data platform or infrastructure teams - Serious hands-on history in data engineering or infrastructure before management. You can still read a Terraform plan, a dbt DAG, or an Airflow scheduler log and ask the question that matters - Production experience with cloud data warehouses (BigQuery, Snowflake, or similar), workflow orchestration (Airflow or similar), and infrastructure as code (Terraform or similar) - Depth in data modeling: you think in fact and dimension tables, raw/core/mart separation, and semantic layers, and you have opinions on where tests and contracts belong - A record of setting a team’s roadmap from company or function strategy and delivering outcomes that span teams, with the cross-functional partnerships to match - Operational excellence you can point to: alerting you trust, SLAs you meet, incidents you run to ground and write up so they teach - Exposure to data security and governance: IAM, access management, VPC service controls or equivalent, audit and compliance workflows - Genuine excitement about AI: you follow the research, have opinions, and are energized by building the data foundation an AI company (and its AI agents) runs on - Comfort operating in ambiguity, leading a multi-workstream roadmap, and working directly with executives on priorities If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! 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.

Разработка платформы для создания автономных AI-агентов разработчиков. Разработка и внедрение мультиагентных пайплайнов для автономизации SDLC.

Разработка и поддержка ETL/ELT пайплайнов на Python. Интеграция данных из различных источников (API, базы данных, файлы, облачные хранилища).

Location: Rijeka Workplace: remote CSM Georgia is looking for self-motivated and skilled seafarers to join our expanding fleet of Columbia Shipmanagement. JOB DESCRIPTION & QUALIFICATION Responsible for proper operation and maintenance of Engines room and other machinery equipment. Holder of valid COC (STCW Reg III/2) with verification. Holder of valid STCW certifications required for the position. Experience in repairs and dry docking is required Experience with multicultural working environment. Good communication and leadership skills. Effective English communication Safety culture and mindset.   VESSEL'S SPECIFIC REQUIREMENTS   Minimum experience requirements: 8 months in Rank with the same type/size of vessel. Experience in Steam Turbines cargo pump system is recommended. Experience with Crude Oil and STS cargo operations. Experience in trading area USA and Australia is recommended.   CONTRACT TERMS & CONDITIONS   Contract Duration [4 months +/- 1 months] Contract Benefit: Competitive salary Terms and condition as per CBA applicable Rejoining Bonus Free Internet onboard and wellbeing support    You may include with your application any reference, specific job qualification, and your availability date. Looking forward to welcoming you in the Columbia Group Family.

• Уверенное знание SQL и Python. • Опыт работы с Apache Airflow.

Location: London 500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job We are looking for a Machine Learning Engineers to join Flo Health. You will be developing groundbreaking features that leverage our medical expertise, technical skills, rapid adoption of new technologies (like LLMs), product knowledge, and a deep understanding of our users’ needs. If you’re passionate about technology, especially advancements in generative AI, and driven by delivering value to users, we would love to hear from you! Your Experience Must have: 7+ years of professional experience in the field of machine learning Demonstrated success in building and deploying large-scale machine learning models; experience with large-scale LLM applications is a bonus Ability to devise creative solutions to intricate technical challenges, including experience in systems design with the ability to architect and explain ML/LLM pipelines Strong Python programming skills for efficient model development and deployment Experience with both traditional ML and modern LLM frameworks Understanding of the entire ML/LLM development process, including CI/CD, version control, testing, MLOps/LLMOps, and agile methodologies Experience in building and managing data pipelines using tools like Apache Spark Excellent communication skills and ability to collaborate with diverse teams Commitment to responsible AI practices, including fairness, accountability, and transparency Nice to have: Advanced degree in Computer Science, Mathematics, or a related field Familiarity with statistical and measurement fundamentals and running and evaluating AB tests Data visualisation skills Experience in the MedTech domain What you'll be doing You'll be responsible for: Explore, develop and test complex ML/AI systems to improve female health Work with state-of-the-art technologies, such as most advanced LLMs and Generative AI approaches, to build solutions that are medically safe and work at scale Work in a fast-paced environment to quickly build and validate product hypotheses, taking end-to-end ownership of ML/AI products Build the future-proof infrastructure for serving Gen AI features at Flo, bringing our AI vision and strategy to life Constantly improve our technical capabilities by researching and implementing best practices in the context of the fastly evolving space of LLMs Work in a cross-functional setup alongside other engineering (ML, Backend, QA), product, and analytics teams How we work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What you'll get We support impact with meaningful reward. Here’s what that looks like: Competitive salary and annual reviews Opportunity to participate in Flo’s performance incentive scheme Paid holiday, sick leave, and female health leave Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents Accelerated professional growth through world-changing work and learning support In-person collaboration and work in a hybrid model, with 3 days per week spent in the office 5-week fully paid sabbatical at 5-year Floversary Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants .

— администрировать и развивать Windows/Linux-инфраструктуру; — поддерживать Multi-domain Active Directory, GPO, DNS и DHCP;

Velaura is looking for a Design Verification Engineer to verify complex SoC hardware and hardware software systems.

Velaura is looking for a Design Verification Engineer AI Accelerator to verify custom AI acceleration hardware and numerical behavior.

Velaura is looking for a Design Verification Engineer CPU to verify custom CPU units and microarchitecture behavior.

Velaura is looking for a Senior Formal Verification Engineer to prove correctness of complex SoC hardware.