RunRL is on a mission to build tools that make models intelligent, reliable, and aligned. As a Founding Engineer, you'll be at the forefront of developing cutting-edge reinforcement learning solutions.
You'll work directly with customers to integrate RL into diverse workflows, from chemistry research labs to document processing teams at large enterprises. The role involves implementing research papers to validate new RL algorithms, scaling model training across hundreds of GPUs, and developing a self-serve platform that democratizes access to advanced RL capabilities.
We're looking for someone passionate about AI's future who can write fast, high-quality code in Python and PyTorch. You should be comfortable with ambiguous problems and possess excellent communication skills. Experience with developer-focused products, multi-node GPU clusters, and AI alignment topics is valuable.
We're a small, highly collaborative team working in-person from our Hayes Valley headquarters in San Francisco. Our culture emphasizes optimism and rapid growth, with the goal of taking larger bets on AI-automated research and development.
This is an exceptional opportunity for someone who wants to shape the future of AI while working on practical applications that make immediate impact. You'll have significant influence on our technical direction and company trajectory, making this an ideal role for ambitious engineers who want to be part of something transformative from the ground up.