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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 7, 2026. First seen by Alion on Nov 7, 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

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.

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