Founding Machine Learning Engineer
Core
Build the ML function from the ground up for an early-stage AI agent systems startup, focusing on post-training, agent systems, and infrastructure.
Role type
Founding machine learning engineer
Builds
Post-training data pipelines, agent environments, tool interfaces, observability systems, replay infrastructure, and evaluation frameworks
Domain
Artificial Intelligence, Agent Systems, Reinforcement Learning
Deliverable
production ML models
Required skills
Python, systems-level programming, production ML infrastructure, post-training data pipelines, evaluation frameworks, trajectory data, reward modeling, agent decision-making, reinforcement learning, agent environment design, replay and debugging tools, data validation, provenance systems, observability, RL training systems
Preferred skills
Experience at a frontier AI lab, post-training or evaluations at scale
Technologies
Python
Responsibilities
Structure, filter, and score experimental trajectories for post-training data pipelines; Design and implement evaluations and benchmarks for model reasoning and planning; Build reliable agent environments, tool interfaces, observability systems, and replay infrastructure; Establish validation and provenance tracking for trajectory and data quality; Set ML roadmap priorities and lead the team's technical direction
Seniority
Founding, hands-on IC with team leadership