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Research Scientist

Parallel Web Systems· Engineering
Apply on company site
San Francisco or Palo Alto$150k - $300kFull-timePosted 3mo ago

About the role

Research-focused role at a web infrastructure company developing models to train and scale a web index, with emphasis on applying research to product and systems used at scale.

Responsibilities

  • Answer the question: how to train and scale a model that can serve a web index?
  • Have deep intuition on modern models and training.
  • Argue how search, recommendations, and transformer models can converge.
  • Ensure research is applied to product and systems that millions use.

Qualifications

  • Not explicitly listed in the description.

Skills

Required:Model training and scaling for web indexingSearch or recommendation systemsApplied research to product and systems

Benefits

  • Competitive salary
  • Generous equity
  • Visa sponsorships
  • 401K plans
  • Daily lunch & office snacks
  • Dinner at the office
  • Unlimited vacation
  • Caltrain pass reimbursement
Last updated Jul 16, 2026. Interested? Apply on the company site.

About Parallel Web Systems

The highest accuracy web search for your AI

Deep research API interface for ChatGPT and AI agents. Enterprise-grade deep research with up to 48% accuracy vs GPT-4's 1%. Built for ChatGPT deep research assistants and complex multi-hop AI workflows.

AIDeep researchEnterpriseWeb searchai-infrastructure-and-developmentwing-list-2026wing-list-2026-mid-stage
Company profileWebsite

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