Theorem
Program verification so even your systems engineers can vibecode
ML Research Scientist
About the role
We’re building products to make the future of software correct, understandable, and secure. Right now, AI has raised the floor on software engineering. We’re building for the world where it raises the ceiling.
What we’re building
Our approach is to write software correctness feedback that scales with complexity and volume of code, so software is provably safe and reliable.
What this looks like in practice:
- Post-training that make models as good at program analysis and formal reasoning as they are at writing Python.
- Interfaces for navigating complex implementations of simple specifications to help users find bugs, generate design documentation, and implement non-functional requirements using compiler-level reasoning methods.
You may be a good fit if you
- Pick projects that are a few orders of magnitude bigger, faster, or harder than SOTA
- Have the gumption to try out something before everyone starts talking about it
- Love to be helpful to the people around you, whether it is pair-debugging or teaching someone something new or just picking up the slack on the mundane tasks that are blocking progress
- Dig deep to get satisfying explanations for how and why things work
- Are practiced in solving last-mile problems
Compensation: $300,000-500,000 with generous equity
About the interview
Please apply via our website (theorem.dev/careers)
About Theorem
Theorem is an AI and programming languages research lab based in San Francisco. We’re a team of researcher-builders who prioritize impact. We’ve developed cryptography which secures trillions of daily internet connections, helped nonprofits raise tens of millions of dollars, and built experimental educational programs serving hundreds of students.
We’ve worked at leading companies like Jane Street, Google, and Microsoft, and have published research at top venues like NeurIPS, ICML, POPL, and ITP.
