Search Relevance Engineer
Family: Data & AI
Tunes search ranking algorithms and relevance signals to ensure users surface the most useful results for their queries.
Day to day
Runs A/B experiments on ranking models, analyses query logs and human rater feedback, and iterates on signals like BM25, embeddings, and learning-to-rank features.
Core skills
- information retrieval
- learning-to-rank
- Elasticsearch/Solr
- A/B testing
- Python