Member of Technical Staff - Applied Research

Patronus AI

12 hours ago

San Francisco, CA

Onsite

Full Time

Senior

0 applicants

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About this role

A Member of Technical Staff in Applied Research at Patronus AI focuses on foundational research to define how agentic AI systems are trained, evaluated, and improved. The role involves solving open-ended problems in scalable oversight, driving novel research in reinforcement learning and environment design, and translating research into production-ready systems.

Skills

Qualifications

BS, MS, or PhD in Computer Science, Machine Learning, Statistics, Mathematics, or related fieldExperience in reinforcement learning, NLP, agentic systems, evaluation, or alignmentAbility to take open-ended research problems from 0→1Strong experimental skillsExperience writing clean, reproducible research code in Python

About Patronus AI

patronus.ai

Patronus AI builds simulation research and infrastructure to accelerate progress toward human-aligned AGI. They develop large-scale simulated environments, tooling, and compute to train, evaluate, and iterate on advanced agents and models. Their work emphasizes alignment, safety, and reproducibility to study emergent intelligence in controlled settings. Patronus partners with researchers and organizations to provide the frameworks, datasets, and infrastructure needed for rigorous AGI research.