Research Scientist

Parallel Web Systems

• $130K — $155K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in machine learning or data science with a focus on model training and scaling.
  • Strong understanding of modern models, particularly transformers, and their applications in search and recommendations.
  • Proven ability to apply complex theoretical concepts to real-world products and systems.
  • Demonstrated critical thinking skills, particularly in model convergence and optimization.
  • Collaborative mindset, with strong communication skills to argue and discuss research ideas.

Responsibilities

  • Conduct research to develop methods for training and scaling models for web indexing.
  • Analyze and discuss the convergence of various model types, including search and recommendation systems.
  • Collaborate with product teams to translate research findings into usable systems.
  • Evaluate existing models and identify improvements that can benefit millions of users.
  • Present research findings clearly to stakeholders and contribute to strategic discussions.

Benefits

  • Generous equity options for long-term investment in the company.
  • Visa sponsorship available for eligible candidates.
  • 401K retirement plans for financial security.
  • Daily lunch and snacks provided in the office.
  • Opportunity for dinner at the office for convenient working hours.
  • Unlimited vacation policy to promote work-life balance.
  • Caltrain pass reimbursement to ease commuting costs.
Full Job Description
Job: As one of our Researchers - you will answer the question: how to train and scale a model that can serve a web index?

You: Have deep intuition on modern models and training. Like to argue how search, recommendations, and transformer models can converge. You care about your research being applied to product and systems that millions use.

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

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