Founding Machine Learning Engineer

CLERA; München; Vor Ort; EUR 90.000 - 224.000; Vollzeit

Zusammenfassung

Clera Labs, Inc. in Munich, Germany is seeking to 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 lay the foundations for the ML team as it grows.

In this role you will structure, filter, and score training data, build agent environments and observability tooling, and establish validation and provenance tracking as the team scales.

Qualifikationen

• 3+ years of professional experience building or delivering production ML systems.
• Experience with post-training ML and evaluation frameworks, including structuring, filtering, and scoring training data.
• Strong Python and systems-level software engineering 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 in ambiguous, fast-moving environment.

Aufgaben

• 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.

Kenntnisse

Production ML

Python

Reinforcement learning

Data pipelines

Evaluation benchmarks

Observability

Tools

ML infrastructure

Experiment frameworks

Jobbeschreibung

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.

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 priorities for ML systems, experiments, and hiring, and lead technical direction as the team scales.

What We're Looking For

• 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.

Compensation & Benefits

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

Location

On-site in Munich, Germany.