Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

The Partner Engineer will manage the technical relationship between Databricks and Microsoft Azure, drive integration efforts, and ensure product alignment with Azure's roadmap.

As a Senior Staff Applied AI Engineer at Databricks, you will design and build retrieval systems, optimize search for both LLMs and humans, and lead technical direction and team growth.

Assist the research team in developing and evaluating domain adaptation methods for LLMs and AI systems focused on enterprise domains.

Lead a team of data scientists to optimize Databricks infrastructure using data science for capacity planning, reliability, and performance improvements.

As a Senior Software Engineer at Databricks, you will build scalable systems, architect multi-cloud solutions, and enhance software development workflows for the infrastructure platform.

Design and implement next-generation database engine systems focusing on query compilation, distributed execution, optimization, and storage management.

Lead design and implementation of systems for customer support using AI and ML, ensuring reliability and driving engineering excellence.

As a Data Scientist, you will shape data science efforts, work with teams to understand product usage, mentor junior staff, and build data products.

Develops data and AI architectures for strategic customers, leads technical pre-sales engagements, builds proofs of concept, validates cloud and third-party integrations, and advises on data engineering, data science, machine learning, and SQL workflows. The role also promotes Databricks technologies and open-source projects while partnering with sales, product, engineering, and customer teams.

Lead the engineering team in developing next-generation ETL features for Databricks Lakeflow. Oversee recruitment, manage technical debt, and ensure high-quality infrastructure services.