Staff Applied AI Researcher (Agentic Search)

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.

Designing agent native retrieval systems optimised for machine consumption rather than human search UX
Building systems where LLMs iteratively plan, query, refine, and reason over results
Developing ranking and retrieval approaches for multi step, agent driven workflows under real world constraints
Drive applied research and technical direction across retrieval and ranking systems
Design and evolve multi stage retrieval architectures (query understanding, rewriting, reranking, iterative retrieval)
Develop methods for grounding LLMs in real time web data at scale
Define and implement new evaluation paradigms and metrics for agentic systems, where correctness is not reducible to clicks
Lead experimentation on modern retrieval approaches (embeddings, hybrid search, reranking) and bring them into production
Analyse trade-offs across relevance, latency, and cost at scale
Work closely with engineering to deploy systems in high throughput, low latency environments
Own ambiguous problems end to end and contribute to product and research direction
Mentor engineers and help raise the technical bar of the team

8+ years of experience in applied AI, ML, or software engineering
Proven track record of shipping ML or AI systems to production at scale
Deep experience with search, retrieval, ranking, recommendation systems, or assistants
Strong understanding of modern deep learning, especially transformers and embeddings
Experience with LLM integrated or knowledge intensive systems
Experience designing evaluation frameworks and metrics for ML systems
Strong programming skills in Python and at least one of Go, C++, or similar
Ability to operate in a fast moving, product driven environment with high ownership and autonomy
Experience with large scale search or recommendation systems
Background in agentic AI systems (agents, tool use, autonomous workflows)
Experience with RAG, multi step retrieval, or tool use
Publications, open source, or similar signals of technical depth and impact
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