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Member of Technical Staff, Model Training

150k – 300kCaliforniaML EngineeringOnsite
Summary

Own the training pipeline for search and agent models, building from product usage data through fine-tuning and evaluation to production deployment. Requires deep expertise in transformer fine-tuning, data curation, and training models for ranking, retrieval, and agent behavior.

About the role

Responsibilities

  • Own the training pipeline behind the models that power Parallel’s search stack and agents
  • Build rankers, classifiers, and query models that surface the right information for search
  • Develop models that help agents plan, reason, and execute high-value tasks over web data
  • Build the path from real product usage to high-quality training data
  • Fine-tune and evaluate models rigorously
  • Ship models safely to traffic used by millions

Requirements

  • Deep intuition on modern models and training, including transformer fine-tuning, data curation, and label quality
  • Rigorous thinking about how ranking, retrieval, and agent behavior inform one another
  • Ability to train models that serve ranking, retrieval, and agent use cases
  • Passion for applying research to product and systems used by millions
Skills
Transformer fine-tuningData curationModel evaluationRanking modelsRetrieval modelsAgent behavior modelingLabel quality
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