Machine Learning Research Scientist, Post-training

Scale

San Francisco, CA, US
Base: $252,000 - $315,000 usd; equity: included ba...
On-site
Deep understanding of deep learning
Experience with rlhf and preference optimization
Knowledge of llm fine-tuning techniques
Scale works with industry-leading AI labs to provide high-quality data and accelerate progress in GenAI research

Job Summary

  • Scale works with industry-leading AI labs to provide high-quality data and accelerate progress in GenAI research.
  • The role focuses on optimizing data curation and evaluation to enhance LLM capabilities in both text and multimodal modalities.
  • Compensation packages include base salary ranging from $252,000 to $315,000 USD, equity, and comprehensive benefits.

Matching Summary

Scale works with industry-leading AI labs to provide high-quality data and accelerate progress in GenAI research.

Salary

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

Skills & Requirements

Must-have

  • Deep understanding of deep learning
  • Experience with RLHF and preference optimization
  • Knowledge of LLM fine-tuning techniques

Nice-to-have

  • Published research at major AI conferences
  • Previous customer facing role experience
  • 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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