Founding Reinforcement Learning Engineer
About the Role
Build core reinforcement learning systems from the ground up as a founding engineer on an early-stage AI team. You will work directly with the founders and own the process from environment design and model training through evaluation, helping shape the company's technical direction.
What You'll Do
Design and build reinforcement learning environments, reward functions, and training pipelines.
Train and fine-tune models using methods such as PPO, GRPO, DPO, RLHF, and RLAIF.
Develop evaluation frameworks to measure model and agent performance.
Run experiments, interpret results, and decide which approaches to explore next.
Scale training on GPU clusters and maintain reliable pipelines.
Turn research ideas into production systems.
Help establish engineering culture and hire future engineers.
What We're Looking For
At least 2 years of hands-on experience in reinforcement learning or machine learning engineering, with relevant experience potentially ranging from 2 to 10 or more years.
Strong Python skills
