Senior Staff Software Engineer- Search Quality
Databricks6 months ago
Responsibilities
- Own the quality of search results for AI agents and human users.
- Optimize retrieval across keyword-based and semantic vector search.
- Fine-tune ranking models for human readability and LLM-ready context.
- Build guardrails and relevance scoring to reduce hallucinations and keep AI grounded in source data.
- Connect structured SQL tables, unstructured documents, and real-time business metrics.
- Develop evaluation frameworks to measure search relevance.
Requirements
- Expertise in information retrieval, including Lucene or Elasticsearch, embeddings, and ranking algorithms.
- Experience with relevance evaluation frameworks, including human-in-the-loop and LLM-based approaches.
- Strong understanding of search relevance metrics such as nDCG, MRR, and Precision@K.
- Interest in applying traditional information retrieval techniques to Retrieval-Augmented Generation systems.
Benefits
- Comprehensive employee benefits and perks are offered, with region-specific details available through Databricks' benefits portal.
Tech Stack
Categories
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).