More jobs:
Staff Engineer, Applied AI
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-06-08
Listing for:
Gravity Engineering Services Pvt Ltd.
Full Time
position Listed on 2026-06-08
Job specializations:
-
IT/Tech
Data Analyst, AI Engineer (Applied/Software), Data Engineering, Machine Learning/ ML Engineer
Job Description & How to Apply Below
About the Role
The Applied AI team at Databricks is 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, some of which can have hundreds of millions of assets. Finding an asset is a critical user journey for Databricks’ customers, helping them accomplish their tasks.
As our Search product continues to evolve, we are seeking a Staff Engineer to lead enhancements to our Search Quality. In 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.
- 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.
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