Own enterprise LLM post-training from data curation through production deployment. Responsibilities include fine-tuning open-weight and proprietary models, building evaluation suites and benchmarks, calibrating LLM judges, managing regression risks, operating data flywheels, optimizing cost and privacy, and working directly with enterprise stakeholders. Success is measured by reliable production impact and shipped models.

Build and scale pipelines that generate, grade, verify, and QA reinforcement-learning environments and agentic coding tasks. Create realistic coding worlds around production codebases, automate task creation into the thousands, develop throughput-enhancing infrastructure, and manage the full task lifecycle. Analyze failures, prevent reward hacking and grader loopholes, run workloads on GCP, and use coding agents to accelerate environment development and validation.

The Technical Recruiter will manage full-cycle recruiting for engineering and research roles, source candidates, facilitate interviews, and refine recruitment processes.