Description
Prior Labs is hiring a senior individual contributor to build the foundations of tabular foundation models. The role combines inventing frontier tools for TabPFN, setting research direction, incorporating external research and customer needs, publishing results, building trustworthy benchmarks, implementing baselines and competitor models, and developing an automated agentic pipeline with a human in the loop. Candidates should have broad data-science experience, strong performance across multiple tasks, familiarity with dataset defects and the ML toolbox, and the ability to work as an opinionated senior individual contributor in an early-stage, low-process environment.
