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Founding Machine Learning Engineer

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Founding Machine Learning Engineer in Others new

  • Munich, Germany

Responsibilities

  • Own the machine learning function and shape post-training and agent systems from research through production.
  • Structure, filter, and score experimental trajectories for training-data pipelines.
  • Design and implement evaluations and benchmarks for model reasoning, planning, and experimental progress.
  • Build agent environments, tool interfaces, observability systems, and replay infrastructure.
  • Establish validation and provenance tracking for trajectory and data quality.
  • Set priorities for ML systems and experiments, lead hiring, and provide technical direction as the team scales.

Requirements

  • 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.

Benefits

  • Annual salary range of $100,000 to $250,000 USD.
  • On-site work in Munich, Germany.
  • Visa sponsorship is not available.

Salary: $100k - $250k/yr

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