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Machine Learning Research Scientist, Post-Training

Scale AI
Location
San Francisco, CA; Seattle, WA; New York, NY
Posted
25 days ago
Department
Research
What they actually want (must-haves)
  • Expertise in LLM post-training techniques such as SFT, RLHF, and reward modeling
  • Experience in deep learning and reinforcement learning
  • Ability to analyze model behavior and propose solutions for bias mitigation
  • Strong written and verbal communication skills
  • Experience publishing research in major AI conferences or journals
Nice to have
  • Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field
  • Experience in a customer-facing role
What the job really is

As a Machine Learning Research Scientist focused on post-training, you will develop innovative techniques to enhance large language models (LLMs) through methods like SFT, RLHF, and reward modeling. Your role involves collaborating with researchers and engineers to optimize data curation and evaluation, analyzing model behavior to address weaknesses, and publishing findings in prestigious AI conferences. You will also provide strategic input to leading foundation model labs in the development of generative AI models.

Benefits
  • Comprehensive health, dental and vision coverage
  • Retirement benefits
  • Learning and development stipend
  • Generous PTO
  • Potential commuter stipend
  • Equity-based compensation
Things to weigh
  • Base salary range provided, but actual salary determined during the interview process
  • 90-day waiting period for reconsideration of candidates for the same role
Job score3.4/5
Benefits3/5
Freshness4/5
Career value5/5
Role clarity5/5
Pay transparency0/5

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