About Patronus AI
Patronus AI is a frontier lab developing simulation research and infrastructure to accelerate progress toward human-aligned AGI. We are on a mission to simulate all of the world’s intelligence.
We are the team behind some of the earliest and most influential research in AI evaluation like FinanceBench, Lynx, SimpleSafetyTests, CopyrightCatcher, Humanity’s Last Exam, and more. We are formerly AI researchers and engineers from companies like Meta AI, Amazon AGI, and Google. Our customers include foundation model labs and Fortune 500 enterprises like Adobe. We are backed by top-tier investors like Lightspeed Venture Partners, Notable Capital, Stanford University, Noam Brown, Gokul Rajaram, and more.
Responsibilities
As an Engineering Lead at Patronus AI, you will build world class agent simulation and research infrastructure that defines how agentic AI systems are trained, evaluated and improved. You will scope and drive simulation projects end-to-end, prototyping creative, complex systems and translating them into production-ready systems for RL scaling.
You will lead teams to solve hard, applied research problems in simulation design, reward modeling, tooling, world data integrity, and task validity. As the Engineering Lead, you will work closely with AI research teams as a thought partner, shaping the industry standard for robust, high quality environments. Your work will directly inform how frontier labs design, train and improve the next generation of agents for long-horizon tasks, progressing our path towards safe, human-aligned general intelligence.
In this role, you will:
Qualifications
"The number one qualification to succeed in this machine learning course is gumption” - John Lafferty, CS Professor at Yale
Above all, we look for an eagerness to learn, passion for research, creativity in problem solving and a proactive mindset. You are a great fit if you have a background in the following:
Benefits
Patronus AI is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.
Engineering
San Francisco, CA
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