Machine Learning Research Internship
Member of Technical Staff
We are seeking interns who have shown promise as creative and productive machine learning researchers. For experienced candidates, extensive experience with deep learning is recommended but not an absolute requirement. Internships are available year-round, and durations may range between 3 months and 1 year. We look for some combination of:
- High creativity and productivity
- Depth and breadth of knowledge in the field of deep learning or closely-related fields
- Track record of high-impact publications in deep learning or closely-related fields
- Ability to implement and scale up both state of the art baselines and unproven algorithms
For candidates new to the field, we're looking for people with high potential and drive, who could become highly productive in the field on a six-month time horizon. Ways for candidates to demonstrate this include but are not limited to: accomplishing something impressive in an unrelated but technical field (e.g. building a creative system, winning awards at the IOI or IMO, high-impact publications in another field); making significant progress on our OpenAI Requests for Research; or strong contributions to our open-source projects.
In all cases, we look for people who are self-motivated and excited about the transformative potential of AI.
OpenAI’s mission is to build safe AI, and ensure AI's benefits are as widely and evenly distributed as possible. We are building a team of researchers and engineers to make the defining breakthroughs in machine learning.
We care about what people will accomplish here much more than what they've already done: for any of our hiring criteria, demonstration of exceptional motivation and potential can overcome a lack of experience. We value personal development; we hire curious, highly-motivated individuals who look to grow in areas where they have not yet achieved mastery.
Our impact is greater than just publishing research papers. We build working systems. We try to empower and strengthen the AI research community, and collaborate freely. We publish our techniques, tools, and methods, and try to find creative approaches for how to improve the progress and impact of ML research.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.