Megagon Labs invites graduate students to apply for research and engineering internships. We are looking for motivated students to solve real-world problems at scale in Natural Language Processing, Machine Learning, Data Management, Data Integration, Human-Computer Interaction, and Intelligent Visual Analytics, and help us transform the future of work.
Interns at Megagon Labs will focus on high-impact projects while closely working with our Research Scientists as their mentors. They will participate in cutting-edge research for real-world and large-scale problems, aiming to publish papers at top-tier conferences.
Megagon Labs’ research projects are strongly connected (but not limited) to research challenges involving Knowledge Bases/Graphs (representation, construction, expansion, curation, alignment, reasoning, and evaluation), Entity Matching, and Explainable and Trustful AI with Humans In The Loop. Our research explores data-driven and Knowledge-intensive approaches applied to different real-world downstream tasks related to the HR domain and others. Internships will be in person at our Mountain View office in Silicon Valley, California.
Megagon Labs is an innovation hub within the Recruit group, which includes Indeed.com and Glassdoor.com.
Visa sponsorship is available.
Minimum Qualification:
Preferred Qualifications:
Ability to design and execute a research agenda.
Contribution to research communities and/or efforts, including publishing papers (i.e. being listed as author) in major conferences or journals.
Returning to a degree program after completion of the internship.
Chenjie Li (Illinois Institute of Technology)
Alfonso Amayuelas (University of California, Santa Barbara, PhD Program)
Aditi Mishra (Arizona State University, PhD Program)
Nima Shahbazi (University of Illinois, Chicago, PhD Program)
Xinru Wang (Purdue University, PhD Program)
Yunshu Wu (University of California, Riverside, PhD Program)
Haopeng Zhang (University of California, Davis, PhD Program)
Fred Choi (University of Illinois, Urbana-Champaign, PhD Program)
Grace Fan (Northeastern University, Boston, MA, PhD Program)
Bosung Kim (UC San Diego, PhD Program)
Nahyun Kwon (Texas A&M, PhD Program)
Seiji Maekawa (Osaka University, PhD Program)
Hantian Zhang (Georgia Institute of Technology, GA, PhD Program)
Ting-Yao Hsu (Penn State University, PhD Program)
Tianyu Jiang (University of Utah, PhD Program)
Zafeiria Moumoulidou (Univ. of Massachusetts, Amherst, PhD Program)
Yutong Shao (UC San Diego, PhD Program)
Runhui Wang (Rutgers University, PhD Program)
Huayi Zhang (Worcester Polytechnic Institute, PhD Program)
Shabnam Behzad (Georgetown University, PhD Program)
Dongjin Choi (Georgia Institute of Technology, PhD Program)
Akhil Dixit (UC Santa Cruz, PhD Program)
Peter Griggs (Massachusetts Institute of Technology)
Chieh-Yang Huang (Penn State University, PhD Program)
Hayate Iso (NARA Institute of Science and Technology, PhD Program)
Zhengjie Miao (Duke University, PhD Program)
Nofar Carmeli (Israel Institute of Technology, PhD Program)
Wataru Hirota (Osaka University, MS)
Chang Ge (University of Waterloo, PhD Program)
Zhengjie Miao (Duke University, PhD Program)
Aaron Traylor (Brown University, PhD Program)
Xiong Zhang (University of Rochester, PhD Program)
Dan Zhang (University of Massachusetts, Amherst, PhD Program)
Nikita Bhutani (University of Michigan, PhD)
Sainyam Golhotra (University of Massachusetts, Amherst, PhD Program)
Danni Ma (University of Pennsylvania, PhD Program)
Saran Mumick (University of Pennsylvania)
Shoetsu Sato (University of Tokyo, PhD Program)
Akari Asasi (University of Tokyo)
Reihane Boghrati (University of Southern California, PhD)
Sara Evensen (Massachusetts Institute of Technology, BS)
Dan Iter (Stanford University, PhD Program)
Shereen Oraby (UC Santa Cruz, PhD Program)
Noujan Pashanasangi (UC Santa Cruz, PhD Program)
Daniel Perez (University of Tokyo, MS)
Taikai Takeda (Waseda University)
Xiaolan Wang (University of Massachusetts, Amherst, PhD)
Yinzhen Xu (Massachusetts Institute of Technology)
Takuo Hamaguchi (NARA Institute of Science and Technology, PhD)
Atsunobu Kotani (Brown University)
Shintaro Shiba (University of Tokyo, MS)
Lexing Tong (UC Berkeley)
