[ research ]
Machine Learning Research Scientist, Post-training
Scale AI- Location
- Seattle, WA
- Work mode
- On-site
- Type
- full time
- Listed
Applications go directly to Scale AI. Ramai takes no fee for placement and no money for ranking.
[ About this role ]
Research Scientist focused on post-training of Large Language Models (LLMs) in text and multimodal modalities. This role involves developing novel methods for SFT, RLHF, and reward modeling to enhance LLM alignment and generalization, and optimizing data curation and evaluation.
Skills and focus areas
- llm post-training
- sft
- rlhf
- reward modeling
- preference optimization
- bias mitigation
- model robustness
- deep learning
- reinforcement learning
- large-scale model fine-tuning
- instruction tuning
- communication
Summary written by Ramai from the original posting. Full details and requirements are on Scale AI’s careers page.
[ More at Scale AI ]
Data-centric infrastructure to accelerate the development of AI
See all 170 open roles at Scale AI →[ Similar roles at other startups ]
- Director of Clinical AffairsEight Sleep
- Senior Domain Expert, Labor EconomistSyndio
- Senior Health EconomistHinge Health
- All-source Intelligence Analyst (dc, Md, Va Only)TRM Labs
- Ai Tutor, Humanities - TemporaryxAI
- Senior ResearcherAssemblyAI
[ Not quite right? ]
Tell the assistant what you’re after — stage, location, stack, visa sponsorship — and it searches every open role for you. A few questions are free, no account needed.