Founding Machine Learning Engineer

ABOUT THE ROLE

As the founding machine learning engineer at an early-stage AI company, you will build the ML function from the ground up. You will shape post-training and agent systems, set technical priorities, and help grow the team.

WHAT YOU'LL DO

- Structure, filter, and score experimental trajectories for training data pipelines.

- Design and implement evaluations and benchmarks for model reasoning, planning, and experimental progress.

- 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 across systems, experiments, and hiring, and guide the team's technical direction as it grows.

WHAT WE'RE LOOKING FOR

- At least 3 years of machine learning engineering experience building or delivering production ML systems, with 3 to 8 years of overall relevant experience preferred.

- Strong Python and systems-level programming skills, with production software engineering experience.

- Hands-on experience with post-training ML, including data pipelines for structuring, filtering, and scoring training data.

- Experience designing and implementing model evaluation frameworks and benchmarks.

- Understanding of trajectories, reward structures, tool use, and agent environment design; experience with reinforcement learning algorithms and training systems is valuable.

- Experience building agent environments, replay and debugging tools, data validation, provenance tracking, or ML pipeline observability is a plus.

- Background in frontier AI research, scaled post-training or evaluation teams, or production agent systems is beneficial.

COMPENSATION & BENEFITS

Annual salary range: $100,000 to $250,000 USD. Visa sponsorship is not available.

LOCATION

On-site in Munich, Germany. Other listed locations include Zurich, Switzerland, and San Francisco, United States; remote arrangements may be discussed.