Clera

office • DEU • senior • $100–250k / год

### About the Role Own the machine learning function at an early-stage AI company, shaping post-training and agent systems from research through production. You will help set technical priorities and build the foundations for the ML team as it grows. ### 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 priorities for ML systems, experiments, and hiring, and lead technical direction as the team scales. ### What We're Looking For * At least 3 years of professional experience building or delivering production machine learning systems. * Hands-on experience with post-training ML, evaluation frameworks, and post-training data pipelines, including structuring, filtering, and scoring training data. * Strong Python and systems-level software engineering skills for ML infrastructure. * Experience with agents, reinforcement learning, trajectory data, reward structures, and agent environment design. * Experience building evaluation benchmarks, replay and debugging tools, data validation, provenance tracking, or observability systems. * Ability to bridge research and production, take ownership, and work effectively in an ambiguous, fast-moving environment. ### Compensation & Benefits Salary range: $100,000 to $250,000 USD annually. Visa sponsorship is not available. ### Location On-site in Munich, Germany.