More jobs:
GenAI Research Scientist
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-01-01
Listing for:
Databricks
Full Time
position Listed on 2026-01-01
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer -
Research/Development
Job Description & How to Apply Below
Get AI-powered advice on this job and more exclusive features.
Company Description
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.
Mosaic AI organization
The Mosaic AI organization enables companies to develop AI models and systems using their own data, with technologies ranging from pre‑training LLMs from scratch to augmented generation using the latest retrieval techniques. Mosaic AI does so by producing novel science and putting it into production. Mosaic AI is committed to the belief that a company’s AI models are just as valuable as any other core IP, and that high‑quality AI models should be available to all.
Job Description
As a Research Scientist on the GenAI Team at Databricks, you will be responsible for keeping up with the latest developments in deep learning and advancing the scientific frontier by creating new techniques that go beyond the state of the art. You will work together on a collaborative team of researchers with diverse backgrounds and technical training. And most importantly, you will love our customers: our goal is to make our customers successful when they train large models, and we encode our scientific expertise into our products to make that possible.
Qualifications
• Are comfortable working with large‑scale LLMs in the 10s to 100s of billions of parameters.
• Have solid ML and RL software engineering and scientific research skills.
• Have produced novel research related to fine‑tuning LLMs or improving upon pre‑trained LLMs.
• Have specialized expertise in topics like fine‑tuning, RLHF, LLM tool‑use, etc.
• Are passionate about getting your work into the hands of real users and - more broadly - democratizing access to modern AI technology.
• Are motivated by working on LLM research that - contrary to the general trend in the field - will be disclosed to the public.
• Have strong communication skills and a desire to work on a small, fast‑paced team.
Your Responsibilities
• Keeping up to date with the research literature and thinking beyond the state of the art to address the needs of our users.
• Developing and implementing methods that extend and improve model capabilities, reliability, and safety.
• Rigorously evaluating these methods, communicating the results of your findings, and putting those that are useful into production.
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
$150,000—$190,000 USD
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
To learn more, follow Databricks on Twitter, Linked In and Facebook.
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,…
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
Search for further Jobs Here:
×