Train and calibrate LLM judges so model feedback becomes reliable, repeatable signal, including calibration against expert human ratings.
Convert multi-turn agent trajectories into datasets and reward signals for post-training, closing the loop between production signals, evaluation, and agent improvement.
Design benchmarks and RL environments from real customer workloads that probe long-horizon, tool-using agent behavior.
Advance evaluation research: online evals on live traffic, automated raters, verifiable rewards, and measurement that keeps pace with agents that act.
Keep up with the latest developments in deep learning and create new techniques that go beyond the state of the art.
What we look for
Expertise in debugging and diagnosing failures in complex, stochastic, multi-component systems
Deep instinct for designing metrics and evals that track what actually matters, and questioning noisy, sparse, or biased signals
Experimental rigor and causal thinking, from offline ablations to online experiments
A drive to turn measurement into improvement: closing the loop from signals to changes that move the numbers
Solid AI research and software engineering skills
Strong communication skills and excitement to work on a small, fast-paced team
A drive to get your work into the hands of real users
Nice to have
Experience with agent systems, such as coding agents, long-horizon tool-using agents, or building evaluation environments
A track record of novel research on learning from feedback, such as post-training, RLHF, or reward modeling
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Local Pay Range
$164,000—$235,000 USD
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
