“The best teachers are those who show you where to look, but don't tell you what to see.”
—  Alexandra K.Trenfor

Internships at AI2

PhD students in computer science are invited to apply for full-time internships year-round. Applicants should have an interest in natural language processing, machine learning, knowledge representation, semantics, question answering, textual entailment, or computer vision. All interns are paired with a mentor and participate in AI2's groundbreaking research. There are no restrictions on publications based on internships. Pay is competitive, and visa sponsorship is available.

AI2 Outstanding Intern of the Year

Each year, AI2 awards our most exceptional interns with the AI2 Outstanding Intern award. Learn more about our awardees.

Current and former interns

2019 Interns

Winter 2019

  • Lifu Huang (Rensselaer Polytechnic Institute)
  • Eric Wallace (University of Maryland)
  • Jesse Dodge (Carnegie Mellon University)

Spring 2019

  • Maryam Shitu (Ada Academy)
  • Harsh Trivedi (Dhirubhai Ambani Institute of Information and Communication Technology)
  • Aishwarya Mandyam (University of Washington)

Summer 2019

  • Jim Chen (University of Washington)
  • Ben Lee (Harvard College)
  • Dheeraj Rajagopal (Carnegie Mellon University)
  • Harsh Jhamtani (Carnegie Mellon University)
  • Jiangming Liu (University of Edinburgh)
  • Nafisa Shazia (University of British Columbia)
  • Sarthak Jain (Northeastern University)
  • Allan Jie (Singapore University of Technology and Design)
  • Lianhui Qin (University of Washington)
  • Ronen Tamari (Hebrew University of Jerusalem)
  • Pouya Pezeshkpour (University of California Irvine)

Fall 2019

  • Asila Maksumova (University of Washington)
  • Andrew Head (University of California, Berkeley)
  • Mike D'Arcy (Northwestern University)
  • Xueqing Liu (University of Illinois at Urbana-Champaign)
  • Peter West (University of Washington)
  • Saadia Gabriel (University of Washington)
  • David Wadden (University of Washington)

2018 Interns

Winter 2018

  • Sara Chandler (Ada Academy)
  • Yogi Chandrasekhar (Northeastern University)
  • Muthu Chandrasekaran (National University of Singapore)
  • Pradeep Dasigi (CMU)
  • Lauren Krainski (University of Washington)
  • Heeyoung Kwon (Stony Brook University)
  • Tuan Lai (Korea Advanced Institute of Science & Technology)
  • Samira Sheikhi (University of Chicago)
  • Erkan Tas (University of Washington)
  • Michael Yi (University of Washington)

Spring 2018

  • Todor Mihaylov (Heidelberg University)
  • Jonathan Mallinson (University of Edinburgh)
  • Antoine Bosselut (University of Washington)
  • Rowan Zellers (University of Washington)

Summer 2018

  • Arindam Mitra (Arizona State University)
  • Robert Huang (National Taiwan University)
  • Xuezhe Ma (Carnegie Mellon University)
  • Candace Ross (MIT)
  • Yao-Hung Tsai (Carnegie Mellon University)
  • Katie Stasaski (UCBerkeley)
  • Swabha Swayamdipta (Carnegie Mellon Unversity)
  • Roy Or-El (University of Washington)
  • Fan Yang (Carnegie Mellon Unversity)
  • Tal Friedman (UCLA)
  • Liyuan Lui (UIUC)
  • Unnat Jain (UIUC)
  • Huiyu Wang (John Hopkins Unversity)
  • Zoe Sheill
  • Zachary Horvitz (Brown University)
  • Nelson Liu (University of Washington)
  • Maarten Sap (University of Washington)

Fall 2018

  • Erika Wolfe (University of Washington)
  • Kathryn Chan (University of Washington)
  • Harrison Kwik (University of Washington)
  • Christine Betts (University of Washington)
  • Souvik Kundu (University of Washington)
  • Amandalynne Paullada
  • Yizhong Wang
  • Xinya Du
  • Hannah Rashkin
  • Ari Holtzman
  • Andrew Hoang

2017 Interns

Spring 2017

  • Titipat Achakulvisut (Northwestern University)

Summer 2017

  • Chris Clark (University of Washington)
  • Ahmed Elgohary (University of Maryland)
  • Tanmay Gupta (UIUC)
  • Xun Huang (Cornell University)
  • Dongyeop Kang (CMU)
  • Arun Mallya (UIUC)
  • Kenneth Marino (CMU)
  • Markus Smith (University of Washington)
  • Krishna Kumar Singh (UC Davis)
  • Lucy Wang (University of Washington)

Fall 2017

  • Aishwarya Agrawal (Virginia Tech)
  • Chloe Anastasiades (Northeastern University)
  • Derick Anderson (Northeastern University)
  • Daniel Gordon (University of Washington)
  • Nelson Liu (University of Washington)
  • Cindy Prasetio (University of Washington)
  • Rebecca Sharp (University of Arizona)
  • Scott Wisdom (University of Washington)

2016 Interns

Fall 2016

  • Srinivasan Iyer (University of Washington): "A Natural Language Interface for Semantic Scholar"
  • Christopher Mitcheltree (University of Waterloo): "A Journey Through Topic-Based Aristo"
  • Mark Neumann (UCL): "Adaptive Computation for Multi-Step Question Answering"
  • Johannes Welbl (UCL): "Creating A Bigger Science Exam Dataset"

Summer 2016

  • Hessam Bagherinezhad (University of Washington): "Training of Efficient Deep Networks"
  • Nan-Chen Chen (University of Washington): "Visual Analytics for Aristo Robustness Testing"
  • Pradeep Dasigi (CMU): "Almost End-to-End Deep Learning for Answering Science Questions"
  • Carlo Del Mundo (University of Washington): "Hardware/Software Codesign for Convolutional Neural Networks"
  • Daniel Khashabi (University of Illinois, Urbana-Champaign): "Robust Reasoning for Question Answering"
  • Kenton Murray (CMU): "Neural Probabilistic Programming"
  • Sachan Mrinmaya (CMU): "An Axiomatic Solver for Geometry Problems"
  • Joseph Redmon (University of Washington): "Hardware/Software Codesign for Convolutional Neural Networks"
  • Subhro Roy (University of Illinois, Urbana-Champaign): "Solving Math Problems"
  • Minjoon Seo (University of Washington): "Multimodal Question Answering Via Graph-to-graph Interaction"
  • Gunnar Sigurdsson (CMU): "Temporal Situation Recognition for Human Activity Understanding"
  • Luca Weihs (University of Washington): "Scientific Impact Prediction"
  • Chenyan Xiong (CMU): "Relevance in Semantic Scholar"
  • Mark Yatskar (University of Washington): "Situation Recognition - Sparse and Zero-shot Prediction"
  • Yuke Zhu (Stanford): "Learning Physical Knowledge Through Interactions"

Winter 2016

  • Eric Gribkoff (University of Washington): "Improving Textual Generalization via Machine Learning"
  • Dan Moran (Northeastern): "Remote Evaluations for Aristo"
  • Mahyar Najibi (University of Maryland): "Object Detection with CNNs"

2015 Interns

Summer 2015

  • Ryan Benmalek (University of Washington): "Component Caching with Redis & RGIT"
  • Chandra Bhagavatula (Northwestern University): "Key Phrase Extraction in Semantic Scholar"
  • Akash Gupta (University of Washington): "Extracting Text from Diagrams"
  • Sujay Jauhar (CMU): "FRETS: Feature Rich Embedding Table Solver"
  • Daniel Khashabi (University of Illinois, Urbana-Champaign): "Question Answering with Integer Linear Programming (ILP)"
  • Satwant Rana (IIT Delhi): "Scientific Concept Extraction from Big Data"
  • Rachel Rudinger (John Hopkins University): "Event Inference Rules for Aristo"
  • Gabriel Satanovsky (Bar Ilan University): "Solving SAT Geometry Questions"
  • Minjoon Seo (University of Washington): "Solving Geometry Problems: Combining Text and Diagram Interpretation"
  • Kavya Srinet (CMU): "Learning to Rank"
  • Chen-Tse Tsai (University of Illinois, Urbana-Champaign): "State Change Questions"
  • Xiaolong Wang (CMU): "Preconditions & Effects"
  • Luca Weihs (University of Washington): "Relevance and Learning to Rank for S2"
  • Mark Yatskar (University of Washington): "Verb Prediction"

Winter 2015

  • Yang Li (UC Santa Barbara): "Answering Elementary Science Questions by Constructing Coherent Scenes Using Background Knowledge"

2014 Interns

Fall 2014

  • Matt Gardner (CMU): "Answering Questions with Random Walk Inference"
  • Noah Siegel (University of Washington): "Figure Understanding in Semantic Scholar"

Summer 2014

  • Qingqing Cai (Temple University): "Automatic Dependency Patterns Learning for Relation Extraction"
  • Eric Gribkoff (University of Washington): "Question Answering with Markov Logic Networks"
  • Ben Hixon (University of Washington): "Knowledge Acquisition in Open Dialogues"
  • Wen Huang (University of Washington): "Encouraging User Comments on Open AIR"
  • Eric Lei (University of Washington): "Accelerated Treebanking for Dependency Parses"
  • Victoria Lin (University of Washington): "Frame-Based Information Extraction for Elementary Physics QA"
  • Ellie Pavlick (University of Pennsylvania): "Acquiring Lexical Entailments for Aristo"
  • Fereshteh Sadeghi (University of Washington): "Visual Verification"
  • Min Joon Seo (University of Washington): "Geometry Question Solver"
  • Marco Valenzuela (University of Arizona): "Citations in Semantic Scholar"