Research Engineer, Technical Lead

About the Company

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.

Responsibilities

• Lead and conduct high-quality research in the intersection of RL and formal methods, with a focus on mathematical theorem proving
• Develop and implement novel RL algorithms and models for theorem proving
• Collaborate with a multidisciplinary team to integrate RL techniques with formal methods
• Stay abreast of the latest developments in RL, formal methods, and related fields

Requirements

• BS in Computer Science, Mathematics, or a related technical field
• Demonstrated track record in developing novel and impactful reinforcement learning systems
• Strong programming skills in Python
• Experience in software development and testing
• Experience in deep learning frameworks such as PyTorch
• Strong understanding of mathematical concepts including algebra, geometry, and analysis

Preferred Qualifications

• MS or PhD in Computer Science, Mathematics, or a related field
• Experience in applying RL to solve practical problems in formal methods
• Proven track record of high-quality research demonstrated by publications, patents, or software contributions
• Contributions to open-source projects or development of software tools in the field
• Strong background in RL, particularly in areas relevant to theorem proving
• Proficiency in formal methods, including experience with theorem proving systems

Benefits

• Unlimited PTO
• 401(k) matching
• 100% employer-paid health, vision, and dental benefits for employees
• 50% coverage for dependents
• Health Savings Account (HSA) available