Founding Machine Learning Engineer
clera · Munich · onsite
USD 100,000 to 200,000 a year
About the RoleAs the founding machine learning engineer at an early-stage AI agent systems startup, 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 post-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 lead the team's technical direction as it grows.
What We're Looking For- At least 3 years of experience in machine learning engineering roles delivering production ML systems.
- Strong Python and systems-level programming skills, with production software engineering experience building ML infrastructure.
- Hands-on experience with post-training data pipelines, including structuring, filtering, and scoring training data.
- Experience designing and implementing evaluation frameworks and model benchmarks.
- Knowledge of trajectory data, reward modeling, agent decision-making, reinforcement learning, and agent environment design.
- Experience building replay and debugging tools, data validation and provenance systems, observability, tool interfaces, or RL training systems.
- Ability to connect research with production, take ownership, and work effectively in an ambiguous environment. Experience at a frontier AI lab or in post-training or evaluations at scale is a plus.
Compensation & BenefitsSalary range: USD 100,000 to 200,000 annually. Visa sponsorship is not available.
LocationOn-site in Munich, Germany.