Research Engineer

Harmonic; Palo Alto (CA); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Unlimited PTO

401(k) matching

100% employer-paid health, vision, and dental benefits

Health Savings Account (HSA)

Job summary

A leading technology startup in Silicon Valley is looking for a motivated Research Engineer to join their Reinforcement Learning & Formal Methods team. This role will focus on advancing mathematical theorem proving with innovative RL techniques. Candidates should possess strong programming skills in Python, experience in deep learning, and a solid understanding of mathematical principles. The position offers benefits such as unlimited PTO and 401(k) matching, along with comprehensive health coverage.

Qualifications

• 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.

Responsibilities

• Conduct high-quality research in the intersection of RL and formal methods.
• Develop and implement novel RL algorithms and models for theorem proving.
• Collaborate with a multidisciplinary team integrating RL techniques with formal methods.

Skills

Python programming

Understanding of mathematical concepts

Deep learning frameworks (e.g., PyTorch)

Education

BS or MS in Computer Science or Mathematics

PhD in Computer Science or Mathematics (preferred)

Job description

About Us

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.

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

Learn more about what we are working on!

Is Math the Path to Chatbots That Don't Make Stuff Up?

Training Data Podcast: Why Vlad Tenev and Tudor Achim of Harmonic Think AI Is About to Change Math—and Why It Matters

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.