Machine Learning Research Scientist, Post-Training
Scale AI · San Francisco, CA; Seattle, WA; New York, NY
Posted 21 days ago
or apply directly on Scale AI's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 21 days Scale AI's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 2% of Scale AI's roles list one
- Ghost-job risk at Scale AI
- low 0 stale, 5 reposted of 217 open
- Hiring momentum
- 270 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Scale AI's own greenhouse board since 2026-08-03. Full hiring picture for Scale AI.
About this role
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
- 3/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Scale AI as an employer.
What you need
- 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 you get
- Comprehensive health, dental and vision coverage
- Retirement benefits
- Learning and development stipend
- Generous PTO
- Potential commuter stipend
- Equity-based compensation
Worth weighing
- Base salary range provided, but actual salary determined during the interview process
- 90-day waiting period for reconsideration of candidates for the same role
Summarised from Scale AI's posting. Read the full original.
Listed by Scale AI on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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