Full Stack Software Engineer - RL environments

🚀 Software Engineer — RL Environments | San FranciscoWe’re hiring a Software Engineer focused on RL Environments to join a fast-growing applied AI research company working directly with leading frontier model labs.You’ll help design the environments, reward signals, evaluations, and data that influence how advanced models are trained and improved.🧠 What you’ll doBuild RL environments, simulations, and task frameworksDevelop reward signals and evaluation systems for RLHF / RLVRAnalyse model and agent failure modesRun post-training experimentsBuild synthetic and real-world data pipelinesWork closely with researchers to turn training objectives into production systems⚙️ What we’re looking forStrong reinforcement learning experienceExperience building environments, rewards, or model evaluationsStrong Python engineering skillsAbility to build and deploy production systemsExperience with Docker, Kubernetes, or similar infrastructureFast-moving, high-ownership mindset⭐ Strong plusesExperience at an RL environment, AI evaluation, benchmarking, or AI safety organisationHigh-growth startup, early engineer, or founder experienceExceptional technical achievement or standout internships📍 San Francisco — on-site🎓 Primarily targeting candidates with 1–5 years of experience, although exceptional new graduates may be considered.