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Senior ML Engineer (AI Research/ Portability)
ICT
💰 Salary Not shared
📊 Market 6,500 GBP–10,000 GBP/mo (78,000 GBP–120,000 GBP/yr)
About the Company
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.
About the Role
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.
Responsibilities
- ● Per-turn model routing is performed across quality, cost, latency, capability, cache state, and reliability objectives.
- ● Provider and protocol portability is achieved across frontier models, open-source models, local inference, and compatible APIs.
- ● Agent and harness interoperability is ensured, including transferable skills, capability profiles, actions, tools, and trajectories.
- ● Portable, user-owned memory and context is implemented with scoped identity, provenance, retrieval, feedback, and reviewable compaction.
- ● Agent interchange standards, conformance testing, tool and MCP access, and agent-to-agent communication are developed.
- ● Agent and harness optimization is achieved through evaluation, distillation, customization, and multi-agent learning.
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