RL & Theorem Proving 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

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.