About The Role This is a founding ML engineering role at an early-stage AI startup, giving you full ownership of the ML function from day one. Working directly with founders and researchers, you will shape the technical direction of post-training pipelines and agent systems while building the team around you. What You\'ll Do Structure, filter, and score experimental trajectories to build high-quality training data pipelines. Design and implement evals and benchmarks that measure model reasoning, planning, and experimental improvement. Build reliable agent environments, tool interfaces, observability systems, and replay infrastructure. Establish robust validation and provenance tracking for trajectory and data quality. Set ML roadmap priorities across systems, experiments, and hiring decisions. Lead and grow the ML team\'s technical direction as the company scales. What We\'re Looking For 3+ years of machine learning engineering experience delivering production ML systems. Hands-on experience with post-training data pipelines, including structuring, filtering, and scoring training data. Demonstrated experience building agent environments, tool interfaces, and RL training systems. Strong Python and systems-level programming skills for ML infrastructure. Experience designing and implementing evaluation frameworks and benchmarks for ML models. Deep understanding of trajectory data, reward modeling, and agent decision-making systems. Experience building data validation, provenance tracking, and observability systems for ML pipelines. High agency, comfort with ambiguity, and the ability to bridge research and production seamlessly. Background at a frontier AI lab or on a post-training or evals team is a strong plus. Experience with reinforcement learning algorithm implementation, replay systems, or agent debugging tools is a plus. Compensation & Benefits Salary range: $100,000 to $200,000 USD annually. Visa sponsorship is not available. Location On-site role based primarily in Munich, Germany, with additional offices in Zurich and San Francisco. Remote arrangements may be discussed on a case-based basis. #J-18808-Ljbffr
Standorte
Founding Machine Learning Engineer in Großmehring, München Arbeitgeber: Clera
Als Arbeitgeber in einem dynamischen B2B-Startup im Bereich Bautechnologie bietet unser Unternehmen eine inspirierende Arbeitsumgebung in Berlin, die Kreativität und Innovation fördert. Wir legen großen Wert auf die persönliche und berufliche Weiterentwicklung unserer Mitarbeiter und bieten zahlreiche Möglichkeiten zur Weiterbildung sowie ein unterstützendes Team, das gemeinsam an der Lösung realer Probleme arbeitet. Mit flexiblen Arbeitsmodellen und einer offenen Unternehmenskultur schaffen wir ein Umfeld, in dem jeder Einzelne einen bedeutenden Beitrag leisten kann.
