databricks | 1 days ago | Bengaluru

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.
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 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.

Official notification