Research Internship, Ecosystem

Who You Are:

Ai2 is seeking talented and motivated Research Interns to join our Open Ecosystem team, working on fully open foundation models like Olmo and Molmo . This internship offers a unique opportunity to contribute to cutting-edge research in AI in an exciting, fast-paced research environment. As a Research Intern, you have the opportunity to:

• Define and lead a high-impact research project.
• Train and release leading models.
• Collaborate with and learn from team members across Ai2.
• Build open-source software for the research community.
• Author scientific papers for publication in a high-profile conference or journal.

Ai2 Research Internship Information:

• Duration: 12 weeks
• Candidates: A PhD candidate or a master/undergraduate student with a strong research background

We are currently hiring for start dates in 2027. If you have questions, feel free to reach out to olmo-careers
. Please apply by January 8, 2027 at 11:00pm Pacific Time to be considered for our Spring/Summer 2027 internships.

Who We Are:

We build the world’s most fully open AI models, working to advance new capabilities, improve performance and robustness, and make the building process more rigorous, transparent, and efficient. We deliver high-impact research and masterfully-engineered open-source tools to accelerate AI research around the world.

Why Open Ecosystem? We are building the foundation to foster years of open science and research on AI models.

• All interns are paired with one or more mentors from the Open Ecosystem team.
• We encourage open collaboration on intern projects, even with researchers at external institutions. We have close ties to the University of Washington, only 1.5 miles away.
• Our pay is competitive, and visa sponsorship is available.
• We are committed to open science and support students freely publishing papers. Examples:

To see more about our current, future, and past interns, check out our internship page on our website!

What You’ll Need:

Qualifications:

• Pursuing a doctoral degree in Computer Science or similar field with research experience in machine learning, natural language processing, language and vision, or related areas.
• Strong software engineering skills, especially with deep learning frameworks (e.g. PyTorch).
• A strong publication record at AI-related venues, such as NeurIPS, ICLR, ICML, COLM, ACL, EMNLP.
• Experience in related areas of foundation model research like training dynamics, scaling laws, efficiency, data curation, post-training methods (e.g., SFT, DPO, RL), agentic training and infrastructure, and applications in scientific domains.
• Contributions to open-source research libraries (e.g., PyTorch, Huggingface Transformers, olmo-core, AllenNLP).

Physical Demands and Work Environment:

The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

• Must be able to remain in a stationary position for long periods of time.
• The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.
• The ability to observe details at close range.

A Little More About Ai2:

Ai2 is a Seattle based non-profit AI research institute founded in 2014 by…