Job Description
📋 Description Build RL environments and harnesses for thousands of parallel experiments. Create verifiers and graders with rubrics and pass@k scoring at scale. Develop SFT and RL fine-tuning pipelines from data collection to evaluation. Run eval systems measuring model and product quality across trajectories. Build scalable training and serving infra: multi-launchers, fault tolerance. 🎯 Requirements 3+ years shipping production systems used by customers and engineers. Deep proficiency in Python; strong API design and systems thinking. Experience building agent environments and post-training RL/SFT pipelines. Ship reliable production code for AI agents and APIs; strong design. Build tooling, CI, and harnesses; own substrate others rely on. Thrives in ambiguous startup environments with ownership and influence. 🎁 Benefits Location: SF tech hub; hybrid model with 3 days in office. Fast-paced environment with ownership and rapid impact. Growth opportunities directly tied to your impact. Pay parity and transparent compensation discussions. Join a mission to build AI foundations for humanity. Collaborative team of researchers and engineers.
