Machine Learning Research Scientist, Post-Training

Scale AI is a company that collaborates with leading AI labs to enhance GenAI research through high-quality data. They are seeking a Machine Learning Research Scientist to focus on optimizing data curation and evaluation for large-scale generative models, while developing novel post-training techniques and collaborating with top foundation model labs.

Responsibilities:

• Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities
• Design and experiment new approaches to preference optimization
• Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness
• Publish research findings in top-tier AI conferences