Research Engineer

SupportFinity™; California (MO); On-site; USD 95,000 - 120,000; Full time

Benefits offered by this job

Unlimited PTO

401(k) matching

100% employer-paid health benefits

Job summary

SupportFinity™ in California is seeking a motivated Research Engineer to advance mathematical theorem proving using reinforcement learning techniques. The role involves developing algorithms that integrate RL with formal methods to solve complex problems.

The ideal candidate will possess a BS or MS in Computer Science or Mathematics and strong programming skills, particularly in Python. SupportFinity™ offers competitive benefits including unlimited PTO and comprehensive health plans.

Qualifications

• Strong programming skills in Python and experience in software development.
• Experience in deep learning frameworks such as PyTorch.
• Strong understanding of algebra, geometry, and analysis.

Responsibilities

• Conduct high‑quality research in RL and formal methods.
• Develop and implement RL algorithms for theorem proving.
• Collaborate with a multidisciplinary team on RL techniques.

Skills

Programming in Python

Deep learning frameworks (e.g., PyTorch)

Strong understanding of mathematical concepts

Education

BS or MS in Computer Science, Mathematics, or related field

Job description

About The Company

Harmonic is a startup building the world’s most advanced mathematical reasoning engine, recently achieving Gold Medal-level performance on the 2025 International Math Olympiad (IMO). Backed by some of the world's most prominent investors, we are intentionally scaling our elite technical team.

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.

Key Responsibilities

• 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.

Minimum 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.

Preferred Qualifications

• 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.

What We Offer

• Unlimited PTO
• 401(k) matching
• 100% employer‑paid health, vision, and dental benefits for employees and 50% coverage for dependents. Harmonic offers varied health coverage options to select what is best for you and your family.
• Health Savings Account (HSA) available for qualifying health plans.

Equal Opportunity Statement

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.