P-375
The Applied AI team at Databricks sits at the forefront of advancing AI/ML-powered products. Databricks customers are continuously creating new assets (tables notebooks dashboards datarooms pipelines sql queries ml models etc.) on the platform. Finding an asset is a critical user journey for Databricks customers which helps them accomplish their tasks.
As our Search product continues to evolve we are seeking a Staff Engineer to lead enhancements to our Search 2025 we will focus on enhancing search ranking improving query understanding building robust evals and growing the coverage of assets to enable seamless search at scale.
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 Were Looking For
- BS (M.S. or PhD preferred) in Computer Science or a related field.
- 10 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.
Why Join Us
At Databricks we are building state-of-the-art AI solutions that redefine how users interact with data and our products. Youll have the opportunity to shape the future of AI-driven products at Databricks work with cutting-edge models and collaborate with a world-class team of AI and ML experts.
If youre excited about pushing the boundaries of AI in real-world applications wed love to hear from you!
Required Experience:
Staff IC
P-375The Applied AI team at Databricks sits at the forefront of advancing AI/ML-powered products. Databricks customers are continuously creating new assets (tables notebooks dashboards datarooms pipelines sql queries ml models etc.) on the platform. Finding an asset is a critical user journey for Da...
P-375
The Applied AI team at Databricks sits at the forefront of advancing AI/ML-powered products. Databricks customers are continuously creating new assets (tables notebooks dashboards datarooms pipelines sql queries ml models etc.) on the platform. Finding an asset is a critical user journey for Databricks customers which helps them accomplish their tasks.
As our Search product continues to evolve we are seeking a Staff Engineer to lead enhancements to our Search 2025 we will focus on enhancing search ranking improving query understanding building robust evals and growing the coverage of assets to enable seamless search at scale.
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 Were Looking For
- BS (M.S. or PhD preferred) in Computer Science or a related field.
- 10 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.
Why Join Us
At Databricks we are building state-of-the-art AI solutions that redefine how users interact with data and our products. Youll have the opportunity to shape the future of AI-driven products at Databricks work with cutting-edge models and collaborate with a world-class team of AI and ML experts.
If youre excited about pushing the boundaries of AI in real-world applications wed love to hear from you!
Required Experience:
Staff IC
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