About this role
Baseten is seeking a Post-Training Research Scientist to drive cutting-edge machine learning initiatives from San Francisco or on a remote basis. This opportunity suits ambitious researchers eager to push the boundaries of post-training methodology, performant inference, and production systems.
Role Overview
The Post-Training Research Scientist position sits at the center of the company's research agenda, bridging foundational discoveries with practical customer applications. Team members divide their time between exploratory research into how models learn, alignment, and architectural efficiency, and applied work that directly solves concrete problems for top-tier AI companies. Operating in a fast-paced environment, professionals design experiments that can be validated with high-demand customers serving billions of tokens a second.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Baseten powers mission-critical inference for dynamic artificial intelligence companies like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and developer tooling, the company helps organizations operating at the AI frontier bring cutting-edge models into production. Backed by recent funding led by Altimeter Capital, Conviction Partners, and Spark Capital, the team is expanding rapidly to build the premier platform for shipping AI products.
How to Apply
Interested candidates should visit the official company careers page to submit an application and join the team.
Skills and tech stack
Questions candidates ask
What is the salary range for the Post-Training Research Scientist role?
The salary ranges from $210,000 to $285,000 USD per year.
Is this position remote?
Yes, the role offers remote flexibility alongside a physical presence in San Francisco.
What benefits are included for U.S. employees?
U.S. employees receive 100% coverage of medical, dental, and vision insurance for themselves and dependents, a company-facilitated 401(k), paid parental leave, and a fertility and family-building stipend through Carrot.
What kind of companies use the platform?
The platform powers inference for fast-growing AI companies like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, Writer, and Lovable.
Are traditional academic credentials strictly required to apply?
No, the company values exceptional work from non-traditional backgrounds, including research engineers with production stack experience and operators who understand real systems, alongside traditional PhDs.