Description
As a Senior ML Engineer focused on Search Optimization, you will work on improving the quality of our search product across all parts of the search stack.
You will work on problems such as query understanding, query reformulation and expansion, retrieval, ranking, reranking, and result selection. Your goal will be to identify where search quality is lost, develop better approaches, and turn them into measurable improvements in production.
This is an applied ML and information-retrieval role combining experimentation with production impact. You will work with real-world queries, large-scale search systems, and evaluation signals 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
Requirements:
- 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
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