Senior ML Research Scientist
Rad AI- Full Time
- Senior (5 to 8 years)
Candidates should hold a Ph.D. or other degree in computer science, AI, machine learning, or a related field. They must have at least 4 years of experience with deep learning research and LLMs, particularly in practical alignment topics such as RLHF, automated red teaming, and scalable oversight. A passion for AI safety and improving global health outcomes is essential, along with the ability to work collaboratively in a team environment. Experience in health-related AI research or deployments is a bonus.
The Research Scientist will design and apply practical and scalable methods to enhance the safety and reliability of AI models. They will evaluate methods using health-related data to ensure accuracy and trustworthiness, build reusable libraries for alignment techniques, and proactively identify areas of risk in models and systems. Additionally, they will collaborate with cross-team stakeholders to integrate safety methods into core model training and improve product safety.
Develops safe and beneficial AI technologies
OpenAI develops and deploys artificial intelligence technologies aimed at benefiting humanity. The company creates advanced AI models capable of performing various tasks, such as automating processes and enhancing creativity. OpenAI's products, like Sora, allow users to generate videos from text descriptions, showcasing the versatility of its AI applications. Unlike many competitors, OpenAI operates under a capped profit model, which limits the profits it can make and ensures that excess earnings are redistributed to maximize the social benefits of AI. This commitment to safety and ethical considerations is central to its mission of ensuring that artificial general intelligence (AGI) serves all of humanity.