Research Internship

AI2 is seeking Research Interns to join their Semantic Scholar Research team. Research interns on their team contribute to AI2's mission to conduct ambitious research in an exciting, fast-paced research environment. They have the opportunity to define and lead a high-impact research project, collaborate with and learn from team members across AI2, including scientists and engineers, author a scientific paper for publication in a high-profile conference or journal, implement and share open source software to improve access to their research, and contribute to the Semantic Scholar project through a new model or software system. All interns are paired with one or more mentors from the Semantic Scholar Research team. They encourage open collaboration on intern projects with other researchers, both at AI2 and at external institutions. They have no restrictions on publishing papers based on their internships. Their pay is competitive, and visa sponsorship is available.

• Define and lead a high-impact research project
• Collaborate with and learn from team members across AI2, including scientists and engineers
• Author a scientific paper for publication in a high-profile conference or journal
• Implement and share open source software to improve access to our research
• Contribute to the Semantic Scholar project through a new model or software system
• Work as a Research Intern on the Semantic Scholar Research team
• Be paired with one or more mentors from the Semantic Scholar Research team
• Encourage open collaboration on intern projects with other researchers, both at AI2 and at external institutions
• Have no restrictions on publishing papers based on internships
• Have strong software engineering skills
• Have 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 a strong publication record in AI-related areas
• Have experience with deep learning frameworks (e.g. PyTorch, Tensorflow)
• Have contributions to open-source research libraries (e.g. AllenNLP, spaCy)
• Have familiarity with building web interfaces
• See your research improve the productivity and discovery experience of millions of scholars who use Semantic Scholar
• Collaborate frequently with researchers on other AI2 teams focused on natural language processing and computer vision, among others
• Have opportunities to continue learning alongside coworkers through weekly AI2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and personal on-going education
• Value diversity and seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age
• Value inclusion and build a culture in which all voices are heard, respected and considered
• Emphasize a healthy work/life balance and offer generous paid vacation and sick leave as well as family leave
• Consider themselves a team, all moving with a common purpose, and are quick to cheer successes and share and jointly problem solve failures
• Are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA)

• Pursuing a PhD in Computer Science or related fields. 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.
• A strong publication record in AI-related areas. Example venues include ACL, CHI, ICLR, EMNLP, SIGIR, KDD, WWW, CVPR, NeurIPS, and ICML.
• Experience with deep learning frameworks (e.g. PyTorch, Tensorflow).
• Contributions to open-source research libraries (e.g. AllenNLP, spaCy).
• Familiarity with building web interfaces. Understanding how to turn an idea into a working, browser-based interface is a plus.