Remote Eligible: Persons in these roles are welcome to work remotely from any state in the US.

Compensation Range: $86,520 - $123,600*
*Compensation dependent upon degree attained 

Research Internship

Who You Are:

As a Research Intern on our team, you’ll have the unique opportunity to see your research improve the productivity and discovery experience of millions of scholars who use Semantic Scholar (semanticscholar.org).

We collaborate frequently with researchers on other AI2 teams focused on natural language processing and computer vision, among others. Our main office has close ties and unique access to researchers at the University of Washington, only 1.5 miles away. Researchers excited about such internal and external collaborations are encouraged to apply.  

See our team page (https://www.semanticscholar.org/research/publications) for examples of our work.

AI2 is seeking passionate, early-career researchers to join us for an internship. Undergraduate, Masters and PhD graduate students in AI-related fields are invited to apply for full-time research internships with us year-round. Applicants should have an interest in natural language processing, machine learning, knowledge representation, semantics, question answering, textual entailment, and/or computer vision. International candidates are welcome to apply. Pay is competitive, and visa sponsorship is available.

Who We Are: 

Semantic Scholar Research at the Allen Institute for AI (AI2) is an interdisciplinary research team focused on AI, HCI, ML, NLP, accessibility, and computational social science in support of Semantic Scholar’s mission of accelerating science. Semantic Scholar is an open platform that helps millions of scholars discover, understand, and synthesize scholarly papers, powered by a large-scale literature graph with 200M+ papers. Our research impacts the Semantic Scholar platform and the research community more broadly, and we regularly publish in high-profile conferences and journals in NLP (e.g., ACL, EMNLP), HCI (e.g., CHI, UIST, CSCW), ML (e.g., NeurIPS, ICLR), IR (e.g., SIGIR), Accessibility (ASSETS), and other areas.

Your Next Challenge:

At AI2, you will be working with world-class AI researchers and talented software engineers. We perform team-based, ambitious research, with a mandate to strive for big breakthroughs, not just incremental progress, in an exciting and interactive workplace. 

All interns are paired with a mentor and will participate directly in AI2's groundbreaking work. There are no restrictions on publications based on internships. Each of our research teams has a specific application for interested candidates, so please familiarize yourself with our projects and apply to the specific team(s) that best match your skills and interests.

AI2 Research Interns will have the opportunity to do the following tasks:

• Reading the scientific literature to investigate and understand AI research 
• Executing AI research under guidance of the mentor, which may include building AI systems or system components, developing datasets, and/or conducting experiments 
• Meeting with the mentor to discuss research progress and ideas

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

AI2 Intern of the Year Opportunity:

AI2 offers an Intern of the Year Award that will recognize a research intern who has performed outstanding research that will lead to a high-quality paper aligned with one of AI2's projects.  This winning intern will receive:

• $10,000 cash prize (applicable to tax)
• Invitation to return to AI2 for another internship
• External announcement of their award

What You’ll Need:

• Be pursuing a PhD in computer science or a related field
• We will also consider non-PhD applicants with exceptional research experience.
• Strong software engineering skills.
• Research experience in natural language processing, human-AI interaction, language and vision, machine learning, information retrieval, knowledge representation, data science, or other related fields.
• Have an interest in cutting-edge artificial intelligence research

Bonus Qualifications:

• A strong publication record in AI-related areas.  Example venues include ACL, CHI, ICLR, EMNLP, SIGIR, KDD, WWW, CVPR, NeurIPS, and ICML. 
• Experience with de