Role at a glance
- Salary
- $190K – $270K/yr
- Location
- San Francisco, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 2+ years of experience in an applied research environment
- Education
- BS, MS, or PhD in Computer Science or a related field
Spotted an issue?
We’ll check it against the original posting.
Role Summary
The Data Agent team within Databricks AI Research develops enterprise data agents for autonomous planning, code generation, and multi-step workflow execution. The role connects AI research with product development by shipping improvements to Genie, Databricks' agent product.
What You'll Do
- Develop post-training recipes for enterprise data agents
- Partner with product teams to turn prototypes and research ideas into agentic experiences
- Build systems that help agents discover and use relevant lakehouse context, including tables, notebooks, code, and cell outputs
- Provide design, execution, debugging, and mentorship to help shape agentic experiences at Databricks
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
BS, MS, or PhD in Computer Science or a related field; 2+ years of experience in an applied research environment with a track record of shipping research prototypes to production; experience in LLMs, agents, reinforcement learning, and post-training workflows; clear communication and strong cross-functional collaboration.
Required
- BS, MS, or PhD in Computer Science or a related field
- 2+ years of experience in an applied research environment
- Track record of shipping research prototypes to production
- Experience in LLMs, agents, reinforcement learning, post-training workflows
- Ability to work effectively in a fast-moving environment that blends research exploration with product and engineering rigor
- Clear communication and strong cross-functional collaboration with researchers, engineers, and product stakeholders
Original job description
Content provided by the employer
Original job description
Content provided by the employer
About Databricks
Databricks is the Data + AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 60% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe.
About the Team
The Databricks AI Research organization is pushing the frontier of next-generation enterprise AI. We believe a company's data is its greatest competitive advantage, and we're building the models and agents that unlock it. Our work spans the full stack, from model training to advanced multi-agent systems.
The Data Agent team within AI Research is dedicated to pioneering frontier enterprise data agents. Our research focuses on developing agents capable of autonomous planning, code generation, and multi-step workflow execution within intricate enterprise settings. The team's primary technical pillars include post-training enhancements, harness design, agentic reinforcement learning (RL), and the construction of specialized RL environments. As a member of this team, you will bridge the gap between cutting-edge AI research and product development by shipping direct improvements to Genie, Databricks' agent product that provides significant value to our user base.
The impact you will have
- Develop the best post-training recipes to train enterprise Data agents, that are capable of autonomous planning, code generation, and multi-step workflow execution within intricate enterprise settings.
- Partner closely with product teams to turn prototypes and research ideas into the best agentic experience for Databricks users.
- Build systems that help the agent discover and use relevant lakehouse context, including tables, notebooks, code, and cell outputs, to produce more accurate and useful results.
- Raise the technical bar for the team through strong design, execution, debugging, and mentorship, helping shape the long-term direction of agentic experiences at Databricks.
What we look for
- BS, MS, or PhD in Computer Science or a related field.
- 2+ years of experience in an applied research environment, with a track record of shipping research prototypes to production.
- Experience in LLMs, agents, reinforcement learning, post-training workflows.
- Ability to work effectively in a fast-moving environment that blends research exploration with product and engineering rigor.
- Clear communication and strong cross-functional collaboration with researchers, engineers, and product stakeholders.
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.
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.
About the company
Databricks
Large Enterprise
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.