Staff Software Engineer - Machine Learning (Search)
Databricks· Engineering
Bengalurufull-timePosted 8mo ago
About the role
Staff Engineer to lead enhancements to search quality and ML-based relevance at Databricks, focusing on ranking, query understanding, and expanding asset coverage to enable scalable, AI-powered search experience.
Responsibilities
- Drive the development and deployment of ML based search and discovery relevance models and systems integrated with Databricks' products and services.
- Design and implement automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation, enabling rapid experimentation and iteration.
- Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience.
- Contribute to building a robust framework for evaluating search ranking improvements - both offline and online.
Qualifications
- BS+ (M.S. or PhD preferred) in Computer Science, or a related field.
- 10+ years experience developing search relevance systems at scale in production or in high-impact research environments.
- Experience applying LLM to search relevance
- Experience in one or more of the following: Query understanding, NLP, Text mining, Recommendations, Personalization, Discovery, Conversational AI
- Strong understanding of computer science fundamentals.
- Contributions to well-used open-source projects.
Skills
Required:ML-based search relevance modelsQuery understandingNLP pipelines
Benefits
- Comprehensive benefits and perks; region-specific details available via provided link.
Last updated Sep 10, 2026. Interested? Apply on the company site.
About Databricks
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Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.
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