Machine Learning Research Scientist, Post-Training

Scale AI Machine Learning Research Scientist, Post-Training 4 Hours AgoSaved In-Office 3 Locations 181K-226K Annually Entry level 181K-226K Annually Entry levelArtificial Intelligence • Big Data • Machine LearningResearch and develop novel post-training methods such as SFT, RLHF, reward modeling, and preference optimization for text and multimodal LLMs. Analyze model behavior, improve alignment and generalization, mitigate bias, enhance robustness, and publish findings at leading AI conferences. Collaborate with engineers, researchers, and foundation model labs to establish data-driven AI development practices and provide technical and strategic guidance.Top Skills: Deep LearningInstruction TuningLlmsMultimodal AiPreference OptimizationReinforcement LearningReinforcement Learning From Human Feedback (Rlhf)Reward ModelingSupervised Fine-Tuning (Sft)