Scale AISan Francisco, CAConducts cutting-edge research on data for state-of-the-art AI agents like browser and SWE agents, develops prototypes using LLMs and frameworks like PyTorch/JAX, and publishes in top ML venues. Requires 3+ years ML experience and strong cross-functional communication.
This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires expertise in LLM agents and planning algorithms, creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate these advancements into real-world, scalable solutions.
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