About this role
About the Role
An early-stage AI systems company is seeking a Founding Machine Learning Engineer to build its machine learning function and shape the technical direction of post-training and agent systems. You will work closely with the founding team and help set priorities for experiments, infrastructure, and future team growth.
What You'll Do
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Structure, filter, and score experimental trajectories for training data pipelines.
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Design and implement evaluations and benchmarks for model reasoning, planning, and experimental progress.
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Build reliable agent environments, tool interfaces, observability systems, and replay infrastructure.
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Establish validation and provenance tracking to improve trajectory and data quality.
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Set machine learning roadmap priorities across systems, experiments, and hiring.
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Guide the technical direction of the machine learning team as it grows.
What We're Looking For
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At least 3 years of experience in machine learning engineering, building or delivering production machine learning systems.
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Production software engineering experience with Python and systems-level programming for machine learning infrastructure.
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Hands-on experience with post-training machine learning, evaluation frameworks, and training data pipelines, including structuring, filtering, and scoring data.
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Strong understanding of trajectory data, reward structures, tool use, and agent environment design.
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Experience building agent environments, reinforcement learning systems, replay tools, or trajectory debugging infrastructure is valuable.
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Ability to connect research with production, take ownership, and work effectively in an ambiguous environment.
Compensation & Benefits
Annual base salary: $100,000 to $250,000 USD. Visa sponsorship is not available.
Location
On-site in Munich, Germany.