Founding Machine Learning Engineer

ABOUT THE ROLE

This is a founding ML engineering role at an early-stage AI startup, giving you full ownership of the ML function from day one. Working directly with founders and researchers, you will shape the technical direction of post-training pipelines and agent systems while building the team around you.

WHAT YOU'LL DO

- Structure, filter, and score experimental trajectories to build high-quality 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 and grow the ML team's technical direction as the company scales.

WHAT WE'RE LOOKING FOR

- 3+ years of machine learning engineering experience 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.

- Strong Python and systems-level programming skills 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.

- High agency, comfort with ambiguity, and the ability to bridge research and production seamlessly.

- Background at a frontier AI lab or on a post-training or evals team is a strong plus.

- Experience with reinforcement learning algorithm implementation, replay systems, or agent debugging tools is a plus.

COMPENSATION & BENEFITS

Salary range: $100,000 to $200,000 USD annually. Visa sponsorship is not available.

LOCATION

On-site role based primarily in Munich, Germany, with additional offices in Zurich and San Francisco. Remote arrangements may be discussed on a case-by-case basis.