mentorship
Interested in working with me? Apply to join our team as a Research Intern or Predoctoral Researcher!
As an intern or predoctoral researcher, you’ll work directly with me and other full-time researchers on a research project tailored to your interests. We aim for high-impact research publications at top-tier computer science venues, and we make all project artifacts open and accessible, including code, models and data.
See FAQs for more info about working with me.
Research Internship
I’ve had the pleasure of working with some amazing interns:
2025
- Mayee Chen, PhD student, Stanford University
- Yapei Chang, PhD student, University of Massachusetts Amherst
- Amanda Bertsch, PhD student, Carnegie Mellon University
- Alexis Ross, PhD student, Massachusetts Institute of Technology
2024
- Chaitanya Malaviya, PhD student, University of Pennsylvania
- Alexander Wettig, PhD student, Princeton University
- Niklas Muennighoff, PhD student, Stanford University
- OLMoE: Open Mixture-of-Experts Language Models (NeurIPS 2024)
- Lucy Li, PhD student, University of California Berkeley
- MathFish: Evaluating Language Model Math Reasoning via Grounding in Educational Curricula (EMNLP Findings 2024)
- DrawEduMath: Evaluating Vision Language Models with Expert-Annotated Students’ Hand-Drawn Math Images (NAACL 2025) 🏆 Outsanding Paper Award
- Rose Wang, PhD student, Stanford University
- Vishakh Padmakumar, PhD student, New York University
- Intent-Aware Schema Generation And Refinement For Literature Review Tables (EMNLP Findings 2025)
2023
- Orion Weller, PhD student, Johns Hopkins University
- Hyunji Lee, MS ▸ incoming PhD student, KAIST
- Fangyuan Xu, PhD student, University of Texas at Austin
- Hang Jiang, PhD student, MIT
2022
- John Giorgi, PhD student, University of Toronto
- Towards multi-document summarization in the open-domain (EMNLP Findings 2023)
- Kalpesh Krishna, PhD student, University of Massachusetts Amherst
- LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization (EACL 2023) 🏆 Outsanding Paper Award
- Catherine Chen, PhD student, University of California Berkeley
- Hancheng Cao, PhD student, Stanford University
2021
- Tal August, PhD student, University of Washington
- Paper Plain: Making Medical Research Papers Approachable to Healthcare Consumers with Natural Language Processing (ACM Transactions on Human-Computer Interaction)
- Dustin Wright, PhD student, University of Copenhagen
2020
- Anne Lauscher, PhD student, University of Mannheim
- Marissa Radensky, PhD student, University of Washington
- Exploring the Role of Local and Global Explanations in Recommender Systems (CHI Extended Abstracts 2022)
2019
- Andrew Head, PhD student, University of California Berkeley
- Benjamin Charles Germain Lee, PhD student, University of Washington
- LIMEADE: From AI Explanations to Advice Taking (ACM Transactions on Interactive Intelligent Systems)
- David Wadden, PhD student, University of Washington
- Fact or Fiction: Verifying Scientific Claims (EMNLP 2020)
2018
- Amandalynne Paullada, PhD student, University of Washington
Predoctoral Research
My current and former predoc researchers:
- David Heineman
- Signal and Noise: A Framework for Reducing Uncertainty in Language Model Evaluation (NeurIPS 2025 Datasets and Benchmarks)
- Benjamin Newman → PhD student at University of Washington (2023)
- Zejiang Shen → PhD student at MIT (2022)
- VILA: Improving Structured Content Extraction from Scientific PDFs Using Visual Layout Groups (Transactions of the ACL 2022)
- Sonia Murthy → PhD student at Harvard (2022)
- ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts (EMNLP System Demo 2023)
- Haokun Liu → PhD student at University of North Carolina at Chapel Hill (2021)
- Isabel Cachola → PhD student at Johns Hopkins University (2020)
- TLDR: Extreme Summarization of Scientific Documents (EMNLP Findings 2020)
FAQs
⚠️ For 2025/2026 applicants ⚠️ I’m specifically looking for candidates who are available for extended internships (20+ weeks) and excited to contribute to the OLMo project.
For interns:
- Who?
- Eligibility?
- ✅ Current students,
- ✅ Incoming students to a PhD program,
- ❌ Non-students,
- ✅ Domestic and international applicants welcome.
- Experience?
- Most interns are PhD students, but we’ve also (on rare occasion) hired exceptional Master’s and undergraduate students,
- I tend to hire students with aligned interests as me and a track record of research contributions, whether that’s writing papers (published or preprints) or open-source contributions. Your total publication count or university affiliation doesn’t matter; I look more for a good collaboration fit and quality of work. Engineering skills are a must and just as important as research skills.
- Eligibility?
- When? All research internships are paid, full-time positions for 12 weeks, though we have also done extended internships on part-time basis. Start times are flexible, though I typically recommend starting in May or June for summer internships as there is usually a large, fun cohort at the office.
- Where? Internships are typically in-person at the AI2 office in Seattle. I’ve also hired remote interns before, but only on rare exception.
- How? Apply at the link above and mention my name in your application. I recommend taking a look at my recent publications to get a sense of what type of projects I’m interested in.
For predocs:
- Who?
- Eligibility? This is a great position for:
- ✅ Any prospective PhD applicant, including current students near graduation and former students already working,
- ✅ Anyone already been accepted to a PhD program and looking to defer enrollment for a year,
- ❌ Already enrolled in a PhD program,
- ✅ Domestic and international applicants welcome.
- Experience?
- Some research experience required. You don’t need many papers, nor do they have to be published (preprints are OK).
- Strong coding skills preferred. Especially if you can point to contributions to open-source projects or demonstrations of your work. You don’t need industry software development experience.
- Eligibility? This is a great position for:
- When? All predoctoral research positions are paid, full-time positions for 1-3 years. Start times are flexible. Contracts must be renewed each year.
- Where? All predoctoral research positions must be in-person at the AI2 office in Seattle at least part of the week.
- How? Apply at the link above and mention my name in your application. I recommend taking a look at my recent publications to get a sense of what type of projects I’m interested in.
Advice for all applicants:
- We read all your appication short answer responses. Since we get a lot of applicants, I encourage you to be thoughtful & creative. Avoid sounding too generic.