Founding Machine Learning Engineer

ABOUT THE ROLE Own the machine learning function at an early-stage AI company, working with founders and researchers to shape post-training and agent systems. You will set technical priorities and help guide the growth of the ML 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. - Lead 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. - Strong machine learning and software engineering skills, including production experience with Python and systems-level programming for ML infrastructure. - Hands-on experience with post-training ML, including data pipelines for structuring, filtering, and scoring training data. - Experience designing and implementing evaluation frameworks and benchmarks for ML models. - Knowledge of trajectories, reward structures, tool use, and agent environment design. - Experience with reinforcement learning, agent environments, replay systems, debugging tools, data validation, provenance, or ML pipeline observability. - Background in frontier AI research or scaled post-training and evaluation teams is valuable. - Comfort bridging research and production, taking ownership, and working in an ambiguous environment. COMPENSATION & BENEFITS Salary range: $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.