Sr Software Engineer, Search Relevance (Applied AI)
Sr Software Engineer, Search Relevance (Applied AI)
Sr Software Engineer, Search Relevance (Applied AI)
Databricks
The Applied AI team at Databricks is seeking multiple ML Engineers to enhance their Search product, focusing on search ranking, query understanding, and asset coverage. The role involves developing ML-based search models, designing automated NLP pipelines, and collaborating with cross-functional teams to improve the search experience for customers.
Qualification
- BS+ (M.S. or PhD preferred) in Computer Science, or a related field.
- 6+ years experience developing search relevance systems at scale in production or in high-impact research environments.
- Experience applying LLM to search relevance.
- Experience in query understanding, NLP, text mining, recommendations, personalization, discovery, or conversational AI.
- Strong understanding of computer science fundamentals.
- Contributions to well-used open-source projects.
Responsibility
- 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.
- 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.
