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Patronus AI is a frontier AI research lab focused on developing simulation research and infrastructure to advance progress toward human-aligned AGI. The company is behind influential work in AI evaluation including FinanceBench, Lynx, SimpleSafetyTests, CopyrightCatcher, and Humanity's Last Exam. The team includes former researchers and engineers from Meta AI, Amazon AGI, and Google, with customers including foundation model labs and Fortune 500 enterprises like Adobe. The company is backed by top-tier investors including Lightspeed Venture Partners, Notable Capital, and Stanford University.
As a Member of Technical Staff - Research, you will own and drive foundational research defining how agentic AI systems are trained, evaluated, and improved. This is a highly autonomous role where you will tackle open-ended research questions at the intersection of reinforcement learning, simulations, and scalable oversight, translating them into rigorous experiments, benchmarks, environments, and production systems.
Key responsibilities include owning ambitious research projects end-to-end from problem formulation through execution and production impact; advancing research in agent simulation, reinforcement learning, and scalable oversight including agent cognition, behavior analysis, and reward design; designing state-of-the-art simulation and RL environments for training and evaluating frontier agents; developing methods to understand and improve agent behavior across complex long-horizon tasks; running rigorous experiments and turning findings into measurable outcomes including new techniques, benchmarks, datasets, and publications; building high-quality reproducible research systems with production-level code; and contributing to the company's research direction and thought leadership through collaboration and publication.
The ideal candidate has an MS or PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a related quantitative field, with demonstrated passion for research, creativity in problem-solving, and a proactive mindset. The company values eagerness to learn and gumption above all.
