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 pipelines by organizing, screening and scoring experimental trajectories
- Create model tests and benchmarks that measure reasoning, planning and experimental progress
- Build agent environments, tool interfaces, monitoring and replay systems that support reliable operation
- Track data quality through validation and provenance checks, then set priorities for ML systems, experiments and hiring
- Guide the ML team’s technical direction as it grows
What you bring
- At least three years building or delivering production machine learning systems in an engineering role
- Strong machine learning and software skills, including production Python and systems-level programming for ML infrastructure
- Hands-on post-training experience, including pipelines that structure, filter and score training data
- Experience building evaluation frameworks and benchmarks for machine learning models
Who this fits
This role suits a hands-on engineer comfortable connecting research work with production systems and taking ownership amid ambiguity. You’ll work on-site in Munich, and visa sponsorship is unavailable.
From the employer
About the Role
Own the machine learning function at an early-stage AI company, working with founders and researchers to shape post-training and agent systems. You will set technical priorities and help guide the growth of the ML 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.
Lead the technical direction of the ML team as it grows.
What We're Looking For
At least 3 years of professional machine learning engineering experience building or delivering production ML systems.
Strong machine learning and software engineering skills, including production experience with Python and systems-level programming for ML infrastructure.
Hands-on experience with post-training ML, including data pipelines for structuring, filtering, and scoring training data.
Experience designing and implementing evaluation frameworks and benchmarks for ML models.
Knowledge of trajectories, reward structures, tool use, and agent environment design.
Experience with reinforcement learning, agent environments, replay systems, debugging tools, data validation, provenance, or ML pipeline observability.
Background in frontier AI research or scaled post-training and evaluation teams is valuable.
Comfort bridging research and production, taking ownership, and working in an ambiguous environment.
Compensation & Benefits
Salary range: $100,000 to $250,000 USD annually. Visa sponsorship is not available.
Location
On-site in Munich, Germany. Other listed locations include Zurich, Switzerland, and San Francisco, California.
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