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Clera

Founding Machine Learning Engineer

Clera Munich, Bavaria, Germany · $100K–$250K/yr

Technology, Information and Internet · 11-50 employees

Yesterday
machine-learning Mid (2-5 yrs) Full-time Germany
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About the role

You will own the machine learning function, structuring training data pipelines and designing evaluation benchmarks for model reasoning. Additionally, you will build reliable agent environments and observability systems while leading the technical direction of the team.

What they look for

Machine Learning Python Post-training Evaluation Frameworks Data Pipelines Agent Systems Reinforcement Learning Trajectory Data Reward Structures Observability Systems Data Validation Provenance Tracking Software Engineering Debugging Tools Infrastructure Design

Requirements

Candidates must have at least 3 years of professional experience in production machine learning systems and hands-on expertise in post-training data pipelines. Strong Python skills and experience with agent environments, reinforcement learning, and evaluation frameworks are required.

Full description

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.

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