Machine Learning Research Scientist, Reasoning
Scale AI is seeking a Machine Learning Research Scientist focused on reasoning within large language models (LLMs). This role involves studying data types for LLM-based agents, shaping data strategy, and contributing to impactful research, collaborating with external researchers, and working with engineering teams to deploy solutions.
This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). The ideal candidate will study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents. You will play a key role in shaping Scale’s data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning. Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. You will contribute to impactful research on language model reasoning, collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions.
Posted May 26, 2026