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Salary
$100k – $250k per year
Location
In office (Munich)
Seniority
Middle · 3+ years exp
Visa
No sponsorship (stated in the posting)
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 14, 2026. First seen by Alion on Nov 14, 2026. Clera scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Clera is a San Francisco company that runs an AI recruiting platform positioned as a talent agent rather than a job board, matching engineers and other technical candidates to roles at venture-backed startups. Its system reads a candidate's background and preferences, then represents them to hiring teams at companies funded by firms such as Andreessen Horowitz, Y Combinator, Index Ventures and General Catalyst, compressing the introduction step that traditional headhunting handles manually. The model is aimed at the segment where recruiter fees are highest and candidate supply is thinnest, and the platform handles screening, scheduling and pipeline tracking for both sides of the match.
Backed by TU Berlin

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, connecting research with reliable production infrastructure.

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 to support trajectory and data quality.

  • Set priorities for the ML roadmap, experiments, systems, and hiring.

  • Guide 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.

  • Professional experience in post-training or model evaluations, including hands-on work structuring, filtering, and scoring training data.

  • Production software engineering experience with Python and systems-level programming for ML infrastructure.

  • Experience designing and implementing ML evaluation frameworks and benchmarks.

  • Strong knowledge of trajectory data, reward structures, tool use, and agent decision-making.

  • Experience building agent environments, replay and debugging tools, RL training systems, or data validation and observability infrastructure.

  • Reinforcement learning implementation and tuning experience is valuable, as is experience in frontier AI research or scaled post-training and evaluation teams.

  • Comfort owning priorities and working across research and production in an ambiguous environment.

Compensation & Benefits

Base salary: $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; remote arrangements may be discussed.

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