About the company
At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform so our customers can focus on the high-value challenges that are central to their own missions.
Responsibilities
- Stand up the foundational evaluation infrastructure for Genie Agents, enabling rigorous benchmarking, regression detection, and quality measurement across research and product teams.
- Build the flywheel that connects evaluation results back into agent improvement — closing the loop between production signals, training, and iterative development.
- Shape the long-term technical direction for agent quality infrastructure, with real influence over how Databricks measures and improves its first-party agents and agent development platform.
Requirements
- 6+ years industry experience building software systems
- Strong Python programming skills, with experience building production or research infrastructure
- Experience building or operating distributed systems, data pipelines, or large-scale infrastructure with a focus on reliability, correctness, and operational maturity
- Ability to design pragmatic but rigorous systems that produce trustworthy, reproducible signals for complex applications
- Comfort working across ambiguous research and product boundaries, and partnering with both researchers and engineers to turn ideas into robust internal platforms
- A high bar for technical quality, strong ownership, and the ability to influence roadmap and execution across multiple teams
Conditions
- Pay range: $190,000 – $270,000 USD
- Benefits include annual performance bonus, equity, and comprehensive benefits.