Research Scientist

Parallel Web Systems

• $130K — $160K *
San Francisco, CA 94112In-Person
Information Technology
Less than 5 years of experience
Reposted Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in machine learning and AI
  • Strong understanding of modern models and training techniques
  • Experience with search and recommendation systems
  • Familiarity with transformer models and their applications
  • Proven ability to scale machine learning models for production environments

Responsibilities

  • Research how to effectively train models for web indexing
  • Develop techniques for scaling machine learning models
  • Investigate the convergence of search, recommendation, and transformer models
  • Collaborate with teams to apply research findings to product development
  • Contribute to innovative solutions that impact millions of users

Benefits

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

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