Senior Software Engineer - Search
Databricks4 hours ago
Responsibilities
- Develop and deploy ML-based search and discovery relevance models and systems at scale.
- Build automated ML and NLP pipelines for preprocessing, query understanding, query rewriting, ranking, retrieval, and model evaluation.
- Develop frameworks to evaluate search ranking improvements both offline and online.
- Collaborate with product managers and cross-functional teams on search and discovery technology initiatives.
- Contribute to search quality improvements and expand asset coverage across Databricks products and services.
Requirements
- A BS or higher in Computer Science or a related field is required; an MS or PhD is preferred.
- At least 5 years of experience developing search relevance systems at scale in production or 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 computer science fundamentals.
- Contributions to well-used open-source projects.
Benefits
- Comprehensive employee benefits and perks are offered, with details varying by region.
Tech Stack
DatabricksSQL
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).