Senior Staff Software Engineer Search Quality
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Maintainer signals as of 9/23/2026
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own search-result quality for AI agents and human users. You will improve hybrid retrieval, ranking models, relevance scoring, and evaluation frameworks across structured data, documents, and real-time metrics.
Requirements
- Lucene or Elasticsearch
- Embeddings
- Ranking algorithms
- Evaluation frameworks
- Relevance metrics including nDCG, MRR, and Precision@K
- Information Retrieval
- Retrieval-Augmented Generation
Responsibilities
- Own search-result quality for AI agents and human users
- Optimize hybrid keyword and semantic vector retrieval
- Fine-tune ranking models for human readability and LLM-ready context
- Build guardrails and relevance scoring to keep AI grounded
- Connect structured SQL tables, unstructured documents, and real-time business metrics