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Staff Applied AI Researcher (Agentic Search)

Nebius· Agentic Search
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Hybrid (Amsterdam / London / Remote-Europe / Zurich)full-timePosted 2mo ago

About the role

Staff-level applied AI research role focused on designing and shipping agent native retrieval and ranking systems for an agentic search platform, enabling AI systems to plan, query, and reason over web data at scale with real-time constraints.

Responsibilities

  • 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

Qualifications

  • 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

Skills

Required:Retrieval systems designGrounding LLMs in real-time web dataEvaluation frameworks for ML/AI systemsEmbeddings and modern retrieval approachesPython programmingGo/C++ or similar

Benefits

  • 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
Last updated Oct 21, 2026. Interested? Apply on the company site.
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