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Research Engineer

Harmonic · Palo Alto · On-site

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About Harmonic

Mathematical Superintelligence. Backed by Index, Kleiner Perkins and Sequoia.

About the role

We are seeking a highly motivated and skilled Research Engineer to join our Reinforcement Learning & Formal Methods team. This position will be focused on advancing mathematical theorem proving using cutting-edge RL techniques. The successful candidate will play a key role in developing new algorithms and models that integrate RL with formal methods to solve complex problems in theorem proving and beyond.

What they're looking for

  • BS or MS in Computer Science, Mathematics a related technical field, or equivalent industry experience
  • Strong programming skills in Python, with experience in software development and testing
  • Experience in deep learning frameworks such as PyTorch
  • Strong understanding of mathematical concepts, including algebra, geometry, and analysis
  • PhD in Computer Science, Mathematics, or a related field
  • Experience in applying AI to solve practical problems in formal methods
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 Lean4 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 seeking a highly motivated and skilled Research Engineer to join our Reinforcement Learning & Formal Methods team. This position will be focused on advancing mathematical theorem proving using cutting-edge RL techniques. The successful candidate will play a key role in developing new algorithms and models that integrate RL with formal methods to solve complex problems in theorem proving and beyond.

Conduct high-quality research in the intersection of RL and formal methods, with a focus on mathematical theorem proving.

Develop and...

Read the full posting on Harmonic's site ↗

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