Machine Learning Research Scientist / Research Engineer, Post-Training

Job Description

Research scientist/engineer focusing on LLM post-training (SFT, RLHF, reward modeling) for Scale’s partners and internal products. Role centers on data curation, evaluation, and novel methods to improve alignment and generalization of large-scale generative models.

Responsibilities

• Develop novel methods to improve alignment and performance of LLMs and multimodal models
• Design data curation and evaluation strategies for post-training pipelines
• Collaborate with external foundation model labs and internal product teams
• Publish research results and shape best practices in data-driven AI development
• Prototype and productionize research ideas in Scale’s platforms

Benefits