Today's frontier AI models learn from experience. Instead of training on static datasets, models are dropped into simulation environments in which they attempt tasks and learn from their own successes and failures. This paradigm, called reinforcement learning, enabled models to win gold medals in the international math and informatics olympiads, and to beat the best human players in games like chess and Go.
We believe the following:
At Proximal, we build training environments that realistically reflect the work of software engineers. We work with frontier labs and enterprises to build simulations of the most complex engineering tasks to help them train and adapt the next generation of coding agents.
Join Us:
We are looking for strong engineering and operations talent to join us. Check out our open roles:
Member of Technical Staff - Environments (Machine Learning)
Member of Technical Staff - Environments (Full-Stack)
Member of Technical Staff - Core Platform
Our founding team built coding agents and reinforcement learning infrastructure at Cursor, Prime Intellect and OpenAI, and are second-time founders with prior successful exits. We are backed by top-tier funds and angel investors from OpenAI, Anthropic, xAI and Thinking Machines.
We look forward to hearing from you.