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ParallelParallel

Research Scientist

Conduct research on training and scaling models for web indexing, focusing on convergence of search, recommendations, and transformer architectures. Requires deep intuition in modern ML models and a focus on applied research.

About the job

Responsibilities

  • Answer the question: how to train and scale a model that can serve a web index?

Requirements

  • Deep intuition on modern models and training
  • Interest in arguing how search, recommendations, and transformer models can converge
  • Care about research being applied to product and systems that millions use

Benefits

  • Competitive salary
  • Generous equity
  • Visa sponsorships
  • 401K plans
  • Daily lunch & office snacks
  • Dinner at the office
  • Unlimited vacation
  • Caltrain pass reimbursement

Skills

Machine Learning, Deep Learning, Transformers, Search Systems, Recommendation Systems, Model Training, Model Scaling, Research

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