Staff Software Engineer - Machine Learning (Search)
Databricks17 days ago
Responsibilities
- Lead 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 rewriting, ranking, retrieval, and model evaluation.
- Collaborate with product managers and cross-functional teams on technology-first search and discovery initiatives.
- Build frameworks for evaluating search ranking improvements through offline and online methods.
Requirements
- Bachelor’s degree or higher in Computer Science or a related field; M.S. or PhD preferred.
- 10+ years of experience developing search relevance systems at scale in production or in high-impact research environments.
- Experience applying LLMs to search relevance.
- Experience with one or more of query understanding, NLP, text mining, recommendations, personalization, discovery, or conversational AI.
- Strong understanding of computer science fundamentals.
- Contributions to well-used open-source projects.
Benefits
- Comprehensive benefits and perks are offered, with details varying by region.
- Databricks provides a global, collaborative environment focused on state-of-the-art AI and ML products.
Tech Stack
Databricks
Categories
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).