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Applied Researcher — Agentic AI & RL Systems

Doist

Patronus AI is seeking an Applied Researcher in San Francisco to lead foundational research that defines how agentic AI systems are trained, evaluated and improved. You will work at the intersection of reinforcement learning, simulations and scalable oversight to shape frontier models. This role is highly autonomous and collaborative with engineering to productionize research. A BS, MS, or PhD in CS/ML is required; strong Python and ML framework experience is expected. #J-18808-Ljbffr Doist

Vacancy posted 1 day ago
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