About this role
About the Role The Applied AI team at Databricks sits at the forefront of advancing AI/ML-powered products. We are seeking a Staff Engineer to lead enhancements to Search Quality and help scale asset discovery across Databricks’ platform. In 2026, we will focus on ranking, query understanding, robust evals and expanding asset coverage to enable seamless search at scale.
What You'll Do
- 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.
What We're Looking For
- BS+ (MS/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.
Compensation & Benefits
- Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
- Our Commitment to Diversity and Inclusion: At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.