Machine Learning Research Scientist, Post-Training
Core
Develop novel post-training techniques (SFT, RLHF, reward modeling) to optimize data curation and evaluation for large-scale generative AI models.
Role type
Research Scientist (LLM Post-Training)
Builds
Next-generation generative AI models (text and multimodal)
Domain
Artificial Intelligence / Large Language Models
Deliverable
research
Required skills
Deep learning, reinforcement learning, large-scale model fine-tuning, SFT, RLHF, reward modeling, preference optimization, bias mitigation, model robustness analysis
Preferred skills
Published research in top-tier AI conferences, customer-facing experience
Technologies
LLMs, SFT, RLHF, reward modeling
Responsibilities
Research and develop novel post-training techniques, design and experiment new approaches to preference optimization, analyze model behavior and propose solutions for bias mitigation, publish research findings in top-tier AI conferences
