Founding Machine Learning Engineer

ABOUT THE ROLE This is a founding ML engineering role at an early-stage AI startup, where you will own the machine learning function from day one. Working closely with founders and researchers, you will shape the technical direction of post-training pipelines, agent systems, and the broader ML roadmap as the team scales. WHAT YOU'LL DO - Structure, filter, and score experimental trajectories for training data pipelines. - Design and implement evals and benchmarks that measure model reasoning, planning, and experimental improvement. - Build reliable agent environments, tool interfaces, observability systems, and replay infrastructure. - Establish robust validation and provenance tracking for trajectory and data quality. - Set ML roadmap priorities across systems, experiments, and hiring decisions. - Lead the technical direction of the ML team as it grows. WHAT WE'RE LOOKING FOR - 3 or more years in machine learning engineering roles with a track record of delivering production ML systems. - Hands-on experience with post-training data pipelines, including structuring, filtering, and scoring training data. - Demonstrated experience building agent environments, tool interfaces, and RL training systems. - Production software engineering proficiency in Python and systems-level programming for ML infrastructure. - Experience designing and implementing evaluation frameworks and benchmarks for ML models. - Deep understanding of trajectory data, reward modeling, and agent decision-making systems. - Experience building data validation, provenance tracking, and observability systems for ML pipelines. - Background at a frontier AI lab or on a post-training or evals team at scale is a strong plus. - High agency, comfort with ambiguity, and the ability to bridge research and production seamlessly. COMPENSATION & BENEFITS Salary range: $100,000 to $170,000 USD annually. Visa sponsorship is not available. LOCATION On-site in Munich, Germany (primary location), with additional offices in Zurich, Switzerland and San Francisco, California. Remote arrangements may be discussed on a case-by-case basis.