Staff / Principal Applied AI Researcher (Agentic Search)

About the role

Nebius is seeking a Staff or Principal Applied AI Researcher to join a team building an agent-native search platform designed for machines rather than humans. The role involves designing systems where AI agents actively plan, retrieve, evaluate, and reason over web data in real time. You will own key parts of the applied AI research direction and system design, with a focus on shipping measurable impact in production.

Responsibilities

• Drive applied research and technical direction across retrieval and ranking systems
• Design and evolve multi stage retrieval architectures including query understanding, rewriting, and reranking
• Develop methods for grounding LLMs in real time web data at scale
• Define and implement new evaluation paradigms and metrics for agentic systems
• Lead experimentation on modern retrieval approaches such as embeddings and hybrid search
• Analyse trade-offs across relevance, latency, and cost at scale
• Work closely with engineering to deploy systems in high throughput, low latency environments
• Mentor engineers and help raise the technical bar of the team

Required skills

• Applied AI
• Machine Learning
• Search systems
• Retrieval systems
• Ranking systems
• Deep learning
• Transformers
• Embeddings
• LLM
• Python
• Go
• C++

Nice to have

• Large scale search
• Recommendation systems
• Agentic AI
• Tool use
• Autonomous workflows
• RAG

Benefits

• Competitive compensation
• Career growth and learning opportunities
• Flexibility and ownership
• Collaborative and innovative culture

About the Company

Nebius is a full-stack AI cloud platform supporting developers and enterprises from data and model training through to production deployment. Listed on Nasdaq and headquartered in Amsterdam, the company operates with a global footprint and a team of over 1,500 people.