Research Internship, Open Ecosystem

Location: Seattle, WA Department: Research

Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team. If you have questions about on-site work arrangements for this role, please ask your recruiter.

• Compensation dependent on current degree enrollment.

Research Intern, Undergrad: $94,320 (Annually) Research Intern, Masters: $106,110 (Annually) Research Intern, PhD: $140,000 (Annually)

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

Start date: Flexible

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 [email protected]. ​​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.

Your Next Challenge

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:

Olmo 3: Charting a path through the model flow to lead open-source AI

Molmo2: Open Weights and Data for Vision-Language Models with Video Understanding and Grounding

DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research

OlmoHybrid: From Theory to Practice and Back

OlmoCore 3: Supercharging Olmo-core for Efficient and Scalable MoE Training

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).

Bonus qualifications

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.

Can work under deadlines.

A Little More About Ai2

Ai2 is a Seattle based non-profit AI research institute founded in 2014 by the late Paul Allen. Our mission is building breakthrough AI to solve the world’s biggest problems. We develop foundational AI research and innovation to deliver real-world impact through large-scale open models, data, robotics, conservation, and beyond.

In addition to Ai2’s core mission, we also aim to contribute to humanity through our treatment of each member of the Ai2 Team. Some highlights are:

We are a learning organization – because everything Ai2 does is ground-breaking, we are learning every day. With a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, Ai2 is a place where you will have opportunities to continue learning alongside your coworkers.

We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind.

We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.

We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.

We are collaborative and transparent – we c