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Clera

Founding Machine Learning Engineer

Clera Munich, Bavaria, Germany · $100K–$200K/yr

Technology, Information and Internet · 11-50 employees

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

You will build the ML function from the ground up, including structuring data pipelines and designing evaluation benchmarks for AI agent systems. Additionally, you will set technical priorities and lead the team's direction as the company grows.

What they look for

Machine Learning Engineering Python Systems Programming ML Infrastructure Post-training Data Pipelines Evaluation Frameworks Model Benchmarks Trajectory Data Reward Modeling Agent Decision-making Reinforcement Learning Agent Environment Design Observability Systems Data Validation Provenance Tracking Replay Infrastructure

Requirements

Candidates must have at least 3 years of experience in machine learning engineering with strong Python and systems-level programming skills. Hands-on experience with post-training data pipelines, model evaluation, and building production ML infrastructure is required.

Full description

About the Role

As 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 & Benefits

Salary range: USD 100,000 to 200,000 annually. Visa sponsorship is not available.

Location

On-site in Munich, Germany.

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