About this role
San Francisco is the location for the Post-Training Applied Researcher position at Baseten, an opportunity suited for researchers with practical background in large language model fine-tuning and reinforcement learning. This position focuses on post-training open-source models to surpass proprietary options on specialized tasks.
Role Overview
This role centers on applied post-training research efforts, collaborating closely with high-growth artificial intelligence organizations. Responsibilities involve extracting utility from domain-specific datasets and developing reward functions, training pipelines, and evaluation harnesses. The resulting models deploy directly into production environments serving millions of users.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Baseten supplies inference infrastructure for artificial intelligence companies, uniting applied research, developer tooling, and flexible infrastructure. The organization recently secured a Series F funding round led by Altimeter Capital, Conviction Partners, and Spark Capital.
How to Apply
Interested candidates should apply directly on the official Baseten careers page.
Skills and tech stack
Questions candidates ask
Where is the job located?
The position is located in San Francisco.
What is the salary range for this role?
The salary ranges from $200K to $275K alongside equity offerings.
What qualifications are required for the role?
Candidates need practical LLM training experience with reinforcement learning, strong reward engineering intuition, multi-turn agent environment building experience, full pipeline familiarity, and production ML systems background.
What benefits are provided to U.S. employees?
U.S. employees receive full medical, dental, and vision coverage, a company-facilitated 401(k), flexible PTO, parental leave, and a Carrot family-building stipend.