Research Intern
San Francisco, CA
Run a self-contained research project on evaluations, agent workflows, or RL environments.
About Steadyworks
Steadyworks is a data research lab powering the next generation of AI. We partner with frontier AI labs to build expert-grade datasets, reinforcement learning environments, and evaluation infrastructure that improve state-of-the-art models. Our team previously built frontier AI systems at Meta, Google Research, Autodesk, and other leading organizations.
What you'll work on
Interns take on a well-scoped research project with a clear artifact — an evaluation suite, a study of an agent workflow, or a new environment format — with weekly mentorship from a founder.
- Designing and running evaluations against frontier models
- Prototyping RL environments in a domain you know well
- Investigating agent failure modes and writing up findings
- Contributing to a paper or public writeup where the work warrants it
We're looking for someone who
- Is a current or recent student in ML, CS, or a related field, or an early-career researcher
- Has hands-on experience with LLMs, agents, or RL — coursework, projects, or prior internships
- Writes clearly and can distill an experiment into a crisp result
Logistics
- In-person in San Francisco preferred; strong remote candidates considered
- Minimum 10-week commitment; longer preferred
- Paid
How to apply
Email careers@steadyworks.ai with anything that would help us understand your work.
Introduce yourself