1 day ago
Munich, GermanyMid Level / Senior
Base Salary
$100k - $250k/yr
Responsibilities
- Build the ML function from the ground up, including post-training and agent systems.
- 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 ML roadmap priorities across systems, experiments, and hiring, and guide the team’s technical direction as it grows.
Requirements
- At least 3 years of machine learning engineering experience building or delivering production ML systems.
- 3 to 8 years of overall relevant experience preferred.
- Strong Python and systems-level programming skills with production software engineering experience.
- Hands-on experience with post-training ML and data pipelines for structuring, filtering, and scoring training data.
- Experience designing and implementing model evaluation frameworks and benchmarks.
- Understanding of trajectories, reward structures, tool use, and agent-environment design.
- Experience with reinforcement learning algorithms and training systems is valuable.
- Experience with agent environments, replay and debugging tools, data validation, provenance tracking, or ML pipeline observability is a plus.
- Background in frontier AI research, scaled post-training or evaluation teams, or production agent systems is beneficial.
Benefits
- Annual salary range of $100,000 to $250,000 USD.
- On-site in Munich, Germany; Zurich, Switzerland, and San Francisco, United States are also listed, with remote arrangements potentially negotiable.
- Visa sponsorship is not available.