Staff Engineer, Search Quality (Applied AI)
Databricks is seeking a Staff Engineer to lead enhancements in Search Quality for its Applied AI team. The role focuses on developing and deploying ML-based search and discovery relevance models, improving query understanding, and building robust evaluation frameworks to enable seamless search at scale for customer assets.
The Applied AI team at Databricks is at the forefront of advancing AI/ML-powered products. Databricks' customers continuously create new assets (tables, notebooks, dashboards, datarooms, pipelines, sql queries, ml models etc.) on the platform, some of which can number in the hundreds of millions. Finding an asset is a critical user journey for Databricks’ customers, helping them accomplish their tasks.
As our Search product continues to evolve, we are seeking a Staff Engineer to lead enhancements to our Search Quality. In 2025, we will focus on enhancing search ranking, improving query understanding, building robust evals, and growing the coverage of assets to enable seamless search at scale.
At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.
If you're excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you!
Posted June 4, 2026