Description
We are seeking a Staff Software Engineer to lead enhancements to our Search Quality. The successful candidate will drive the development and deployment of ML-based search and discovery relevance models and systems integrated with Databricks' products and services.
Key responsibilities include:
- 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
The ideal candidate will have a strong understanding of computer science fundamentals, experience applying LLM to search relevance, and contributions to well-used open-source projects.
At Databricks, you'll have the opportunity to shape the future of AI-driven products, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.
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