Staff Machine Learning Engineer
Databricks
About this role
A GenAI Engineer on Databricks' Applied AI team builds and deploys generative AI features and LLM-based capabilities used across products like Databricks Assistant and AI/BI Genie. The role focuses on improving LLM quality, designing scalable ML pipelines, and enabling production-grade AI interactions at scale.
Skills
About Databricks
databricks.comDatabricks is a unified Data Intelligence Platform that helps organizations build, deploy, and manage data, analytics, and AI at scale. Built on Apache Spark and Delta Lake, it provides a “lakehouse” architecture that combines data engineering, ETL, data warehousing, streaming, and machine learning (including MLflow and feature store) in a single managed service. The platform includes collaborative notebooks, scalable compute across major clouds, and built‑in governance, security, and performance optimizations. Enterprises use Databricks to simplify data pipelines, accelerate model development with a data‑centric approach, and operationalize analytics and AI.
Recent company news
AccentureAccenture and Databricks Accelerate Enterprise Adoption of AI Applications and Agents at Scale
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CoStarNews | AI darling Databricks further expands its downtown San Francisco headquarters
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About Databricks
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Leadership Team
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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View leadership team, funding history,
and employee contacts for Databricks.
Salary
$190k – $285k
per year