Verified today
Staff Software Engineer
About the role
Lead the design and deployment of AI-driven search relevance systems at Databricks, driving ML and NLP innovations to enhance asset discovery across the platform.
What you’ll do
- Lead development of ML-based search and discovery relevance models.
- Design and implement automated ML/NLP pipelines for data preprocessing, query understanding, ranking, retrieval, and evaluation.
- Collaborate with product managers and cross-functional teams to drive technology-first initiatives.
- Build robust framework for evaluating search ranking improvements offline and online.
What you’ll bring
- BS+ (M.S. or PhD preferred) in Computer Science or related field.
- 10+ years experience building search relevance systems at scale.
- Expertise in applying LLMs to search relevance.
- Strong background in NLP, query understanding, text mining, recommendations, personalization, discovery, conversational AI.
- Proven contributions to open-source projects.
Skills
Education
BS+