Founding Machine Learning Engineer

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.

Compensation & Benefits

Salary range: $100,000 to $250,000 USD annually. Visa sponsorship is not available.

Location

On-site in Munich, Germany.

Responsibilities

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.

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.