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.