Researcher, Robustness & Safety Training
Senior researcher leading AI safety initiatives, conducting cutting-edge research on RLHF, adversarial training, and robustness to make AI systems safer and more aligned. Requires 4+ years in AI safety, PhD in ML/CS, and deep learning expertise.
About the job
Responsibilities
- Conduct state-of-the-art research on AI safety topics such as RLHF, adversarial training, robustness, and more.
- Implement new methods in OpenAI’s core model training and launch safety improvements in OpenAI’s products.
- Set the research directions and strategies to make our AI systems safer, more aligned and more robust.
- Coordinate and collaborate with cross-functional teams, including T&S, legal, policy and other research teams, to ensure that our products meet the highest safety standards.
- Actively evaluate and understand the safety of our models and systems, identifying areas of risk and proposing mitigation strategies.
Requirements
- 4+ years of experience in the field of AI safety, especially in areas like RLHF, adversarial training, robustness, fairness & biases.
- Ph.D. or other degree in computer science, machine learning, or a related field.
- Experience in safety work for AI model deployment.
- In-depth understanding of deep learning research and/or strong engineering skills.
- Team player who enjoys collaborative work environments.
Skills
RLHF, Adversarial Training, Robustness, Deep Learning, Machine Learning, Ai Safety, Fairness, Biases
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