Staff Engineer, Search Quality

About the Role

The Applied AI team at Databricks is advancing AI/ML-powered products. Databricks’ customers are continuously creating new assets (tables, notebooks, dashboards, datarooms, pipelines, sql queries, ml models etc.) on the platform, some of which can have hundreds of millions of assets. Finding an asset is a critical user journey for Databricks’ customers which helps 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, the focus will be on enhancing search ranking, improving query understanding, building robust evals and growing the coverage of assets to enable seamless search at scale.

Key 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.

What We’re Looking For

• 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.

Why Join Us?

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!