Senior ML Engineer (AI Research/Portability)

Location: Israel; remote from Europe or the United Kingdom

Company

Nebius builds a full-stack AI cloud platform for data processing, model training, inference, and production deployment.

What you will do

• Design, implement, train, and evaluate model routers that select models or reasoning profiles for each interaction.
• Develop portable provider, protocol, agent, harness, memory, and context abstractions.
• Define versioned schemas and execution contracts for models, agents, skills, tools, memories, and trajectories.
• Build systems for discovering, packaging, adapting, and validating agent skills across coding agents, editors, and other harnesses.
• Create benchmark suites and evaluation protocols covering quality, cost, latency, reliability, safety, and portability.
• Translate research results into secure, reversible, reliable software, APIs, integration layers, and test infrastructure.

Requirements

• Profound understanding of machine learning, large language models, or statistical decision-making.
• Deep expertise in model routing, recommender systems, agent systems, retrieval and memory, model evaluation, distributed systems, or protocol and API design.
• Experience building and evaluating language-model or agentic systems with tool use and multi-turn workflows.
• Strong Python, software-engineering, algorithm-design, experimentation, testing, observability, and CI/CD skills.
• Ability to reason about security, privacy, provenance, permissions, failure modes, and user control.
• Excellent command of English with strong technical writing, presentation, and communication skills.

Nice to have

• Experience with model routers, cascades, mixture-of-experts systems, recommenders, or cost-aware inference.
• Experience integrating multiple model providers, local inference systems, or open-source serving stacks.
• Familiarity with agent harnesses, coding agents, function calling, MCP, and agent-to-agent protocols.
• Experience with retrieval, vector search, knowledge graphs, memory architectures, benchmarking, distillation, reinforcement learning, or automated skill generation.
• Proficiency in TypeScript, Go, Rust, or another systems language in addition to Python.

Culture & Benefits

• Competitive compensation and career growth opportunities.
• Learning opportunities, flexibility, and ownership.
• Collaborative, innovative, and international working environment.
• Opportunity to work on impactful AI projects with research and engineering teams.
• Fast-moving environment focused on meaningful impact and the future of AI.