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Confirmed on the employer's own hiring board on Nov 10, 2026. First seen by Alion on Nov 10, 2026. Clera scores B on the Alion truth index.

Overview
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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

Join a machine learning team focused on improving large language model efficiency and quality. You will help develop and evaluate approaches that reduce token usage while maintaining strong output quality.

What You'll Do

  • Experiment with language model configurations to identify optimization opportunities.

  • Build and maintain data pipelines for model training and evaluation workflows.

  • Analyze performance metrics to assess model quality and efficiency.

  • Contribute to internal tools that monitor and optimize model behavior.

  • Follow current machine learning and language model research and apply relevant findings to product improvements.

What We're Looking For

  • A degree in computer science, data science, engineering, mathematics, or a related field, or equivalent practical experience.

  • Hands-on experience building or training machine learning models with Python and frameworks such as PyTorch, TensorFlow, or scikit-learn.

  • Knowledge of machine learning, statistics, model evaluation, and optimization techniques.

  • Familiarity with large language models, natural language processing, and prompt design or tuning.

  • Experience building machine learning data pipelines and analyzing model performance metrics.

  • Experience contributing to tools or monitoring systems for tracking model performance is helpful.

Location

Remote, full-time.

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