Mathematical Superintelligence. Backed by Index, Kleiner Perkins and Sequoia.
About the role
We are developing reinforcement learning systems at a scale where standard abstractions frequently fail. Unlike labs that operate primarily through high-level wrappers, we own the entirety of our RL stack. This ownership spans from low-level environment simulators and custom communication primitives to our distributed training loops and inference engines.
What they're looking for
- BS in Computer Science or a related technical field, or equivalent industry experience
- 2+ years of relevant, hands-on industry experience
- Proficiency in Python
- Experience building or maintaining components within ML frameworks (e.g., PyTorch, JAX, or TensorFlow)
- MS or PhD in Computer Science, Mathematics, or a related field
- 5+ years of relevant, hands-on industry experience
More about this role
At Harmonic, we are building a mathematical reasoning engine that operates with absolute precision. While most AI makes maximum-likelihood guesses, Harmonic's Aristotle uses Lean 4 and reinforcement learning to verify its reasoning and results.
Following our Gold Medal-level performance on the 2025 International Math Olympiad (IMO) and the successful resolution of long-standing open problems, we are proving that AI can master the most rigorous domains of human thought. Backed by some of the world’s most prominent investors, we are intentionally scaling an elite technical team.
Visit our company blog to learn more about what we are working on!
We are developing reinforcement learning systems at a scale where standard abstractions frequently fail. Unlike labs that operate primarily through high-level wrappers, we own the entirety of our RL stack. This ownership spans from low-level environment simulators and custom communication primitives to our distributed training loops and inference engines.
We are seeking engineers who view existing libraries as a baseline and the hardware speed itself as the true target. You will be responsible for the architecture powering our agents, with a...
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