Harmonic · Palo Alto
Research Engineer on the Reinforcement Learning & Formal Methods team, developing new RL algorithms and models for mathematical theorem proving. Work includes integrating RL techniques with formal methods and staying current on RL and formal methods research. Stack includes Python and PyTorch.
At Harmonic, we believe the future of AI depends on proof. Most AI makes its best guess. Aristotle uses formal methods and reinforcement learning to check its own reasoning and results.
AI agents can write software in seconds, but edge cases and silent bugs still get through. We're building the verification engine to find them before code ships. With support for C and Verilog, Aristotle is built for the hardware and software where failure is expensive.
Backed by some of the world’s most prominent investors, we are intentionally scaling an elite technical team.
Try Aristotle for yourself here!
We are seeking a highly motivated and skilled Research Engineer to join our Reinforcement Learning & Formal Methods team. The successful candidate will play a key role in advancing verifiable reasoning by developing new algorithms, models, and RL techniques.
Harmonic is committed to diversity and inclusivity in the workplace. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.
Compensation: $200K - $450K