Research and implement methods for safety training, reinforcement learning, and adversarial
Develop evaluations, identify model failure modes, and use findings to improve training
Work with research, engineering, security, and policy partners to support safe, reliable deployment

🎯 Requirements

4+ years of relevant AI safety research experience, including RLHF, adversarial training, or
Degree in computer science, machine learning, or a related field
Strong deep learning research or engineering skills
Experience improving model safety for deployment
Active TS/SCI clearance or equivalent

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