Research Scientist

As a Research Scientist at OpenAI, you will develop innovative machine learning techniques and advance the research agenda of the team you work on, while also collaborating with peers across the organization. The ideal candidate will have a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. They should also possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

• Develop innovative machine learning techniques and advance the research agenda of the team
• Collaborate with peers across the organization
• Come up with new ideas or improve upon existing ideas in machine learning
• Own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects
• Be excited about OpenAI’s approach to research
• Be interested in and thoughtful about the impacts of AI technology (nice to have)
• Have past experience in creating high-performance implementations of deep learning algorithms (nice to have)
• Conduct exploratory research and drive algorithmic and architectural advances on the critical path to AGI (for Algorithms team)
• Fine-tune large language models to perform tasks in accordance with the user's intentions (for Alignment team)
• Develop innovative solutions and open-ended research to solve real-world problems (for Applied AI Research team)
• Research and develop AI programmers, the neural models that write, debug and improve computer programs (for Code Generation team)
• Develop GPT advancements by exploring and forecasting future capabilities and resource needs (for Language team)
• Help models learn to solve problems in informal natural text and prove theorems in formal languages like Lean (for Mathgen team)
• Measure the risks, benefits, and overall impact of our technology on the world with an eye towards informing our policies and those of other institutions (for Policy Research team)
• Build the model training software stack, solving problems at all layers of the stack including iteration speed, observability, compute efficiency, correctness, and fault detection and recovery (for Scaling team)
• Explore and understand the dynamics of training large models to guide both the training of current models and the trajectory of the next ones (for Science of Deep Learning team)

• Have a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects
• Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects
• Be excited about OpenAI’s approach to research
• Interested in and thoughtful about the impacts of AI technology (Nice to have)
• Past experience in creating high-performance implementations of deep learning algorithms (Nice to have)