Research Engineer

The role

The Research Engineer will join the Reinforcement Learning & Formal Methods team. You will develop new algorithms, models, and RL techniques to advance verifiable reasoning.

What you will do

• 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.

Required qualifications

• 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.

Nice to have

• PhD in Computer Science, Mathematics, or a related field.
• Experience in applying AI 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 (e.g., machine learning, natural language processing).
• 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 and 50% coverage for dependents.
• Health Savings Account (HSA) available for qualifying health plans

About the company

Harmonic is building a verification engine to find edge cases and silent bugs in code. They are scaling an elite technical team to support Aristotle, which uses formal methods and reinforcement learning.