AI Jobs & Internships at Databricks 2026
Databricks has built the leading unified data and AI platform used by thousands of enterprises to run ML workloads at scale. Their platform — built on Apache Spark, Delta Lake, and MLflow — has become standard data infrastructure at Fortune 500 companies. After acquiring Mosaic ML (makers of MosaicBERT and LLM training infrastructure), Databricks has expanded into direct LLM training and the Model Serving layer. They compete directly with Snowflake for the data platform market and with cloud providers for the AI training market.
AI Roles at Databricks
ML Platform Engineer
Data Engineer
ML Engineer
Research Scientist (Mosaic AI)
Solutions Architect
MLflow Engineer
LLM Training Engineer
Product Manager (AI Platform)
Work Culture at Databricks
Databricks has a strong engineering culture built around open-source first principles — Apache Spark, Delta Lake, and MLflow were all created at Databricks and released as open-source. The company has a meritocratic, results-oriented culture with a startup intensity that has been maintained through rapid growth. Engineers have significant ownership over their projects and are expected to have strong technical opinions. The remote-friendly culture has expanded the talent pool significantly beyond San Francisco.
How to Get a Job at Databricks
- 1.
Apache Spark, Delta Lake, and MLflow expertise is directly relevant — demonstrate production experience with these tools beyond tutorial-level knowledge
- 2.
Understanding of the enterprise AI and data engineering landscape — why customers choose Databricks over Snowflake or raw cloud services — provides useful product intuition for PM and solutions roles
- 3.
Open-source contributions to Databricks' Apache Spark, Delta Lake, or MLflow are directly visible to their hiring team and are the strongest differentiator
- 4.
For research roles, the Mosaic AI team focuses on LLM training efficiency and quality — experience with large-scale model training and FLOP efficiency is the relevant background
- 5.
Databricks' Solutions Architect interviews often include live technical demos — practice explaining complex data platform concepts clearly to a non-technical audience