Senior ML Engineer, Search Optimization (Agentic Search)
Tel Avivfull-timePosted 3mo ago
About the role
Senior ML Engineer focused on Search Optimization to improve the quality of Nebius's agent-native search platform. Responsible for problems across the search stack (query understanding, retrieval, ranking, reranking, result selection) with experimental development and production impact to improve relevance, recall, freshness, and overall result quality.
Responsibilities
- Design, implement, and operate the retrieval system for a search vertical
- Connect and tune the data pipeline, from ingestion to relevance tuning
- Build knowledge-graph and entity-resolution layers: entity linking / NER, ontologies, and graph databases (Neo4j or similar)
- Develop structured-extraction pipelines over messy, unstructured domain data
- Reason about freshness and trust: model how confident we are in a fact and how stale it has become before we serve it
- Define evaluation and quality metrics for relevance and drive measurable improvements
- Collaborate with crawling, indexing, and ML teams to ensure retrieval and ranking requirements are met
- Enable safe experimentation with retrieval, ranking, and extraction strategies
Qualifications
- 6+ years of software engineering experience, some of it in search / information retrieval
- Strong IR fundamentals: inverted indexes, BM25/TF-IDF, query understanding, ranking, and evaluation (nDCG/MRR/recall@k)
- Experience with vector & hybrid retrieval: ANN, dense+sparse fusion, embeddings models
- Experience building structured extraction over messy/unstructured domain data
- Fluent in Python and comfortable with systems-level performance work
Skills
Required:query understandingretrieval systemsranking and evaluation
Nice to have:knowledge graphs and entity resolution
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 7, 2026. Interested? Apply on the company site.
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