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, connecting research with reliable production infrastructure.

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 to support trajectory and data quality.

• Set priorities for the ML roadmap, experiments, systems, and hiring.

• Guide the technical direction of the ML team as it grows.

What We're Looking For

• At least 3 years of professional machine learning engineering experience building or delivering production ML systems.

• Professional experience in post-training or model evaluations, including hands-on work structuring, filtering, and scoring training data.

• Production software engineering experience with Python and systems-level programming for ML infrastructure.

• Experience designing and implementing ML evaluation frameworks and benchmarks.

• Strong knowledge of trajectory data, reward structures, tool use, and agent decision-making.

• Experience building agent environments, replay and debugging tools, RL training systems, or data validation and observability infrastructure.

• Reinforcement learning implementation and tuning experience is valuable, as is experience in frontier AI research or scaled post-training and evaluation teams.

• Comfort owning priorities and working across research and production in an ambiguous environment.

Compensation & Benefits

Base salary: $100,000 to $250,000 USD annually. Visa sponsorship is not available.

Location

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