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Research Scientist

180k – 300kRedwood City, CAHybrid3+ YOE
Summary

Research Scientist investigates training data interventions to improve deep learning model quality and behavior. Sources ideas from literature, conducts customer-grounded research, and collaborates with engineers to deliver impact. Requires 3+ years deep learning research and PyTorch proficiency.

About the role

What You'll Work On

  • Source, vet, implement, and improve promising ideas from the deep learning literature and your own thinking.
  • Conduct research guided by concrete customer needs and product outcomes.

About You (Requirements)

  • 3+ years of deep learning research experience
  • Strong fundamentals in deep learning
  • Practical experience and/or publications in one or more of: data pruning and curation, curriculum learning, synthetic data generation, dataset distillation, effects of training data on model behavior, embedding models and semantic search, training large vision (including video), language, or multimodal models, efficient ML
  • Enough software engineering and PyTorch experience to run large-scale experiments and build production prototypes
  • Demonstrated track record in deep learning research (papers, tools, or other artifacts)

Nice to Have

  • Experience with distributed data processing tools like Spark or Snowflake
  • Experience building and shipping ML products

Compensation

  • Base salary: $180,000 to $300,000
  • Significant equity
  • 100% covered health benefits (medical, vision, dental)
  • 401(k) with 4% company match
  • Unlimited PTO
  • Annual $2,000 wellness stipend
  • Annual $1,000 learning stipend
  • Daily lunches and snacks
  • Relocation assistance
Skills
PyTorchdeep learningdata pruningcurriculum learningsynthetic data generationdataset distillationembedding modelssemantic searchmultimodal modelsSparkSnowflake
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