Engineering at Databricks

Real problems. Real impact. Rapid innovation.

Build the largest AI systems powering the world’s largest companies

The vast majority of the world’s data is not on the public internet — it’s locked away in the enterprise. Consider the massive datasets that belong to pharmaceutical giants, pioneers in autonomous vehicles, or global retailers. Join the team helping the world’s largest companies build data intelligence into their products and services. We’re pushing the limits on the state-of-the-art open source models, making them highly performant and efficient.

See open AI/ML jobs

Explore our AI/ML research

See our research: The Shift From Models to Compound AI Systems

Watch now: Patrick Wendell, Co-founder and VP of Engineering, on Building Production-Quality AI Systems

Work at the bleeding edge. Redefine data and AI applications.

The Fortune 500’s data engineering teams and AI/ML practitioners use the Databricks Data Intelligence Platform to manage the end-to-end lifecycle of their data and AI applications — from data processing, transformation and querying to training and deploying large AI applications.

Our engineers work closely with our researchers to develop and leverage cutting-edge technologies and make them accessible to thousands of customers. At Databricks, you will shape the future of how data and AI applications are built.

See open ETL/data engineering jobs

Explore data + AI use cases

Featured teams

Databricks Mosaic Vector Search is a large, highly scalable database built on top of Databricks Data Intelligence Platform and provides best-in-class retrieval capabilities.

Innovation. Openness. Community.

What to expect:

A rapid pace of innovation stemming from our founders, who lead the organization
Having a sense of autonomy, driving initiatives from zero through completion
Getting feedback from the foremost experts in data and AI, including our founders
Our commitment to open source and contributing to the data and AI community — sharing our ideas, code, best LLM libraries and more

How we interview

Our process varies from role to role, but here’s what you can expect after you submit your application:

Hiring manager phone screen
Technical phone screen
Virtual panel interviews
Reference checks
Hiring committee

Your recruiter will be your best resource during your interview. They will be available to answer any questions and provide additional resources you may need. We’re here for you!