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Clera

Founding Machine Learning Engineer

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

Technology, Information and Internet · 11-50 employees

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

You will build the machine learning function from the ground up, shaping post-training and agent systems. Responsibilities include structuring training data pipelines, designing evaluation benchmarks, and establishing reliable production infrastructure.

What they look for

Machine Learning Engineering Python Post-training Model Evaluation Data Pipelines Agent Systems Reinforcement Learning Infrastructure Observability Benchmarking Data Validation Provenance Tracking Tool Interfaces Systems Programming Replay Infrastructure

Requirements

Candidates must have at least 3 years of professional machine learning engineering experience, specifically in post-training or model evaluations. Proficiency in Python and experience with production-level ML infrastructure and agent environments are required.

Full description

About the Role

As the founding machine learning engineer at an early-stage AI company, you will build the ML function from the ground up. You will shape post-training and agent systems, connecting research with reliable production infrastructure.

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 to support trajectory and data quality.
  • Set priorities for the ML roadmap, experiments, systems, and hiring.
  • Guide the technical direction of the ML team as it grows.

What We're Looking For

  • At least 3 years of professional machine learning engineering experience building or delivering production ML systems.
  • Professional experience in post-training or model evaluations, including hands-on work structuring, filtering, and scoring training data.
  • Production software engineering experience with Python and systems-level programming for ML infrastructure.
  • Experience designing and implementing ML evaluation frameworks and benchmarks.
  • Strong knowledge of trajectory data, reward structures, tool use, and agent decision-making.
  • Experience building agent environments, replay and debugging tools, RL training systems, or data validation and observability infrastructure.
  • Reinforcement learning implementation and tuning experience is valuable, as is experience in frontier AI research or scaled post-training and evaluation teams.
  • Comfort owning priorities and working across research and production in an ambiguous environment.

Compensation & Benefits

Base salary: $100,000 to $250,000 USD annually. Visa sponsorship is not available.

Location

On-site in Munich, Germany. Other listed locations include Zurich, Switzerland, and San Francisco, California; remote arrangements may be discussed.

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