ABOUT THE ROLE An early-stage AI systems company is seeking a Founding Machine Learning Engineer to build its machine learning function and shape the technical direction of post-training and agent systems. You will work closely with the founding team and help set priorities for experiments, infrastructure, and future team growth. 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 improve trajectory and data quality. - Set machine learning roadmap priorities across systems, experiments, and hiring. - Guide the technical direction of the machine learning team as it grows.
WHAT WE'RE LOOKING FOR - At least 3 years of experience in machine learning engineering, building or delivering production machine learning systems. - Production software engineering experience with Python and systems-level programming for machine learning infrastructure. - Hands-on experience with post-training machine learning, evaluation frameworks, and training data pipelines, including structuring, filtering, and scoring data. - Strong understanding of trajectory data, reward structures, tool use, and agent environment design. - Experience building agent environments, reinforcement learning systems, replay tools, or trajectory debugging infrastructure is valuable. - Ability to connect research with production, take ownership, and work effectively in an ambiguous environment.
COMPENSATION & BENEFITS Annual base salary: $100,000 to $250,000 USD. Visa sponsorship is not available. LOCATION On-site in Munich, Germany.
Job description provided by Clera.
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