Machine Learning Research Scientist, Post-training

Scale

San Francisco, CA, US
Base: $252,000 - $315,000 usd; equity: subject to ...
On-site
Deep understanding of deep learning
Experience with rlhf and preference modeling
Expertise in large-scale model fine-tuning
The role focuses on optimizing data curation and evaluation to enhance Large Language Model capabilities in both text and multimodal modalities

Job Summary

  • The role focuses on optimizing data curation and evaluation to enhance Large Language Model capabilities in both text and multimodal modalities.
  • Candidates will collaborate with top foundation model labs to provide technical and strategic input on the development of next-generation generative AI models.
  • Compensation includes base salary ranging from $252,000 to $315,000 USD along with equity and comprehensive benefits.

Matching Summary

The role focuses on optimizing data curation and evaluation to enhance Large Language Model capabilities in both text and multimodal modalities.

Salary

Base: $252,000 - $315,000 USD; Equity: Subject to Board approval; Benefits: Comprehensive health, dental, vision, retirement, stipend, PTO

Skills & Requirements

Must-have

  • Deep understanding of deep learning
  • Experience with RLHF and preference modeling
  • Expertise in large-scale model fine-tuning

Nice-to-have

  • Published research at major AI conferences
  • Previous experience in customer facing role
  • Excellent written and verbal communication skills

Key Requirements

  • Ph.D. or Master's degree in Computer Science or related field
  • Published research in machine learning at top-tier conferences

Work Rights

Not specified

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