Founding Machine Learning Engineer
At a glance
Mid-level Machine Learning Engineering role at Clera. Munich · full-time · $100,000–$250,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Shape training data by organizing, filtering and scoring experimental trajectories
- Build tests and benchmarks that measure model reasoning, planning and experimental progress
- Create agent environments, tool connections, monitoring and replay systems that work reliably
- Set priorities for ML systems, experiments and hiring, then guide the team’s technical direction
What you bring
- At least three years delivering machine learning systems for production use
- Strong Python and systems programming skills, plus experience shipping production software
- Hands-on post-training work, including pipelines that structure, filter and score training data
- Experience building evaluation frameworks and benchmarks for models
Who this fits
This role suits an ML engineer ready to establish a function and shape its technical direction as the team grows. The position is on-site in Munich, Germany. Visa sponsorship is unavailable.
From the employer
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, set technical priorities, and help grow the team.
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 for trajectory and data quality.
Set ML roadmap priorities across systems, experiments, and hiring, and guide the team's technical direction as it grows.
What We're Looking For
At least 3 years of machine learning engineering experience building or delivering production ML systems, with 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, including 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 building 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.
Compensation & Benefits
Annual salary range: $100,000 to $250,000 USD. Visa sponsorship is not available.
Location
On-site in Munich, Germany. Other listed locations include Zurich, Switzerland, and San Francisco, United States; remote arrangements may be discussed.