Staff Applied AI Researcher - Agentic Search Systems

Nebius Group

Amsterdam

On-site

EUR 140,000 - 190,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation
Career growth and learning
Flexibility and ownership
Collaborative and innovative culture
Impactful AI projects
International environment

Job summary

Nebius, a leader in cloud AI infrastructure delivering an agent-native search platform, seeks a Staff Applied AI Researcher to own retrieval and ranking work at scale in Amsterdam.

You will design multi-stage retrieval systems, integrate LLMs with real-time web data, and drive evaluation and production experiments across embeddings and hybrid search. Join a fast-moving, ownership-driven team shaping the future of AI with cutting-edge research and tangible impact.

Qualifications

  • 8+ years of experience in applied AI, ML, or software engineering.
  • Proven track record shipping ML/AI systems to production at scale.
  • Deep experience with search, retrieval, ranking, or recommender systems.
  • Strong understanding of modern deep learning, including transformers and embeddings.
  • Experience with LLM-integrated or knowledge-intensive systems.

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 evaluation paradigms and metrics for agentic systems, where correctness is not reducible to clicks.
  • Lead experiments on embeddings, hybrid search, and 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 mentor engineers.

Skills

Applied AI
Search & retrieval
Large language models
Python
Go/C++
Production ML systems
LLM integration

Education

Master's degree in CS or related field

Tools

Go
C++
Python

Job description

Nebius, a leader in cloud AI infrastructure delivering an agent-native search platform, seeks a Staff Applied AI Researcher to own retrieval and ranking work at scale in Amsterdam.

You will design multi-stage retrieval systems, integrate LLMs with real-time web data, and drive evaluation and production experiments across embeddings and hybrid search. Join a fast-moving, ownership-driven team shaping the future of AI with cutting-edge research and tangible impact.

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