Machine Learning Research Scientist, Post-Training

Scale AI is seeking a Machine Learning Research Scientist to optimize data curation and evaluation for enhancing LLM capabilities. This role involves developing novel post-training techniques like SFT and RLHF, collaborating with AI labs, and publishing research findings.

• Research and develop novel post-training techniques (SFT, RLHF, reward modeling)
• Enhance LLM capabilities in text and multimodal modalities
• Design and experiment with preference optimization approaches
• Analyze model behavior for bias mitigation and robustness
• Publish research findings in top-tier AI conferences
• Collaborate with researchers and engineers on data-driven AI development