AI Safety Researcher: Robust Training for National Security

OpenAI; Washington (District of Columbia); On-site; USD 150,000 - 210,000; Full time

Job summary

OpenAI is seeking a researcher to train and evaluate models for U.S. government use, with a focus on national security applications. You will advance safety post-training and robustness, helping models follow nuanced policies while preserving their usefulness and capabilities.

You will collaborate with research, engineering, security, and policy teams to ensure safe, reliable deployment and responsible use of AI in safety-critical settings.

Qualifications

• 4+ years of relevant AI safety research experience, including RLHF, adversarial training, or robustness.
• Have a degree in computer science, machine learning, or a related field, and strong deep learning research or engineering skills.
• Have experience improving model safety for deployment and enjoy collaborative research.
• Are motivated by OpenAI's mission and the responsible use of AI in safety-critical settings.

Responsibilities

• Research and implement methods for safety training, reinforcement learning, and adversarial robustness.
• 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.

Skills

AI safety research

RLHF

Adversarial training

Robustness

Deep learning

Education

Degree in Computer Science, Machine Learning or related field

Job description

OpenAI is seeking a researcher to train and evaluate models for U.S. government use, with a focus on national security applications. You will advance safety post-training and robustness, helping models follow nuanced policies while preserving their usefulness and capabilities.

You will collaborate with research, engineering, security, and policy teams to ensure safe, reliable deployment and responsible use of AI in safety-critical settings.