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.