Senior ML Engineer (AI Research/ Portability)

Навыки

• AI-агенты
• API (интеграции)
• CI/CD
• Code review
• Коммуникация
• Распределённые системы
• Git

О компании и продукте

• Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
• Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
• Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
• This role is for Nebius AI R&D, a team focused on applied research in AI. Our Portability research aims to make intelligent agent systems work reliably as models, providers, harnesses, skills, memory systems, and deployment environments change. We build and evaluate portable layers that preserve capability, context, identity, provenance, and user control across heterogeneous systems. Research areas include:

Требования

• Experience with secure authentication, sandboxing, privacy-preserving telemetry, provenance, or policy-enforced execution

Будет плюсом

• Experience with model routers, cascades, mixture-of-experts systems, recommenders, or cost-aware inference
• Experience integrating multiple model providers or inference stacks, including OpenAI-compatible APIs, Anthropic-style APIs, local inference, or open-source serving systems
• Familiarity with agent harnesses, coding agents, editor integrations, function calling, tool execution, MCP , or agent-to-agent protocols
• Experience with retrieval systems, vector search, knowledge graphs, temporal data, memory architectures, or context management
• Experience with benchmark suites for coding, reasoning, factuality, instruction following, tool use, or multi-turn agent workflows
• Experience with teacher-student distillation, reinforcement learning, preference learning, reward modeling, or automated skill generation
• Proficiency in TypeScript, Go, Rust, or another systems language in addition to Python
• Experience building distributed data-processing, evaluation, model-training, or inference systems
• A PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field, or equivalent practical experience
• A track record of impactful publications, open-source contributions, or deployed AI systems
• A record of building and delivering products or research prototypes in a dynamic, startup-like environment
• Passion for making advanced AI systems composable, inspectable, user-controlled, and resilient to changing models and platforms
• Excellent command of English, with strong technical writing, presentation, and communication skills
• Proficiency in contemporary software-engineering practices, including version control, testing, code review, and CI/CD
• Benefits & Perks
• Competitive compensation
• Career growth and learning opportunities
• Flexibility and ownership
• Collaborative and innovative culture
• Opportunity to work on impactful AI projects
• International environment and talented teams
• What's it like to work at Nebius
• Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI

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