In this role, you will:

📍Develop and refine AI monitor models to detect and mitigate known and emerging patterns of misuse and misalignment. 📍Set research directions and strategies to make our AI systems safer, more aligned, and more robust. 📍Evaluate and design effective red-teaming pipelines to examine the end-to-end robustness of our safety systems, and identify areas for future improvement. 📍Conduct research to improve models’ ability to reason about questions of human values, and apply these improved models to practical safety challenges. 📍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.

You might thrive in this role if you:

📍Are excited about OpenAI’s mission of building safe, universally beneficial AGI and are aligned with OpenAI’s charter 📍Show enthusiasm for AI safety and dedication to enhancing the safety of cutting-edge AI models for real-world use. 📍Bring 4+ years of experience in the field of AI safety, especially in areas like RLHF, human-AI collaboration, fairness & biases. 📍Hold a Ph.D. or other degree in computer science, machine learning, or a related field. 📍Thrive in environments involving large-scale AI systems. 📍Possess 4+ years of research engineering experience and proficiency in Python or similar languages.

If you’re passionate about blockchain and decentralized technologies, explore more opportunities in web3 and cryptocurrency careers.