Senior ML Engineer, AI Research — Make Agent Systems Portable Across Models & Providers (Nebius)
About Nebius
Nebius is leading a new era in cloud infrastructure for the global AI economy, building a full-stack AI cloud platform that takes developers and enterprises from data and model training through to production deployment. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, the company has a global footprint with R&D hubs across Europe, the UK, North America, and Israel — 1,500+ people, including hundreds of engineers with deep expertise across hardware, software, and AI R&D.
The Team
This role sits in Nebius AI R&D, a team focused on applied research in AI. The Portability research track tackles one of the field's hardest problems: making intelligent agent systems work reliably as models, providers, harnesses, skills, memory systems, and deployment environments change. You'll build and evaluate portable layers that preserve capability, context, identity, provenance, and user control across heterogeneous systems.
Research Areas You'll Work On
- Per-turn model routing across quality, cost, latency, capability, cache state, and reliability objectives
- Provider and protocol portability across frontier models, open-source models, local inference, and compatible APIs
- Agent and harness interoperability: transferable skills, capability profiles, actions, tools, trajectories
- Portable, user-owned memory and context with scoped identity, provenance, retrieval, and reviewable compaction
- Agent interchange standards, conformance testing, MCP access, and agent-to-agent communication
- Agent optimization through evaluation, distillation, customization, and multi-agent learning
What You'll Do
- Design and build research prototypes and robust systems at the seams between models, providers, and agent runtimes
- Formulate research questions, develop evaluation methods, and test ideas in realistic agent workflows
- Turn promising results into reusable components, collaborating with research, infrastructure, security, product, and engineering teams
Who We're Looking For
- Senior- and staff-level ML engineers with strong systems instincts
- Experience with LLMs, agentic systems, model routing, or inference infrastructure
- A taste for hard problems at the frontier of applied AI research
If you want to define how portable, reliable AI agents get built — at a company built by engineers for engineers — this is the role.
🚀 Ready to Apply?
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