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.