Machine Learning Research Scientist / Research Engineer, Post-training

Scaleai

San Francisco, CA, USA
Base: $252,000 - $315,000 usd; equity: subject to ...
On-site
Llm post-training techniques
Sft, rlhf, reward modeling
Text and multimodal modalities
Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities

Job Summary

  • Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities.
  • Collaborate with researchers and engineers to define best practices in data-driven AI development.
  • Compensation packages include base salary, equity, and benefits such as comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.

Matching Summary

Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities.

Salary

Base: $252,000 - $315,000 USD; Equity: Subject to Board of Director approval; Benefits: Comprehensive health, dental and vision coverage, retirement benefits, learning and development stipend, generous PTO, commuter stipend

Skills & Requirements

Must-have

  • LLM post-training techniques
  • SFT, RLHF, reward modeling
  • text and multimodal modalities
  • preference optimization
  • bias mitigation and model robustness

Nice-to-have

  • customer facing role experience
  • collaboration with researchers and engineers
  • strategic input on generative AI development

Key Requirements

  • Ph.D. or Master's degree in CS, ML, AI
  • Deep understanding of deep learning, RL
  • Published research in ML conferences/journals

Work Rights

Not specified

Tailored Resume

Cover Letter