Internships

Megagon Labs invites undergraduate and graduate students to apply for research and engineering internships all year around. We are looking for students who are motivated to solve real-world problems at scale in Data Management, Data Integration, Machine Learning, Natural Language Processing, Human-Computer Interaction, and Intelligent Visual Analytics. Internships at Megagon Labs focus on high impact projects, and we regularly release our research as open source and publish at leading venues of research.

Visa sponsorship is available.

 

Minimum Qualification:

  • Currently enrolled in a Bachelor’s, Master’s or PhD degree in Computer Science or a related technical field.

  • Experience in one or more areas of Computer Science, such as Data Management, Data Integration, Natural Language Understanding, Neural Networks, Human Computer Interaction, Computer Vision, Machine Learning, Deep Learning, Software Engineering, Programming Languages or similar.

  • Proficiency in one or more programming languages including C/C++, Java, Python or Javascript to rapidly turn research ideas into software prototypes.

  • Available to work full time for 12 weeks during the summer

 

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.

 
 

CURRENT AND FORMER INTERNS AND COLLABORATORS:

2019

Nofar Carmeli (Israel Institute of Technology, PhD Program)

Wataru Hirota (Osaka Univ., MS Program)

Chang Ge (Univ. of Waterloo, PhD Program)

Zhengjie Miao (Duke Univ., PhD Program)

Aaron Traylor (Brown Univ., PhD Program)

Xiong Zhang (Univ. of Rochester, PhD Program)

Dan Zhang (Univ. of Massachusetts, Amherst, PhD Program)

 

2018

Nikita Bhutani (Univ. of Michigan, PhD | currently Megagon Labs)

Sainyam Golhotra (Univ. of Massachusetts, Amherst, PhD Program)

Danni Ma (Univ. of Pennsylvania, PhD Program)

Saran Mumick (Univ. of Pennsylvania) Shoetsu Sato (Univ. of Tokyo, PhD Program)

 

2017

Akari Asasi (Univ. of Tokyo | currently Univ. of Washington PhD program)

Reihane Boghrati (Univ. of Southern California, PhD)

Sara Evensen (Massachusetts Institute of Technology, BS | currently Megagon Labs)

Dan Iter (Stanford Univ., PhD Program)

Shreen Oraby (Univ. of California, Santa Cruz, PhD Program)

Noujan Pashanasangi (Univ. of California, Santa Cruz, PhD Program)

Daniel Perez (Univ. of Tokyo, MS | currently Imperial College London, PhD Program)

Taikai Takeda (Waseda Univ. | currently Indeed)

Xiaolan Wang (Univ. of Massachusetts, Amherst, PhD | currently Megagon Labs)

Yinzhen Xu (Massachusetts Institute of Technology)

 

2016

Takuo Hamaguchi (NARA Institute of Science and Technology, PhD | currently The Institute of Statistical Mathematics)

Atsunobu Kotani (Brown University)

Shintaro Shiba (Univ. of Tokyo, MS | currently Toyota Research Institute Advanced Technology)

Lexing Tong (Univ. of California, Berkeley | currently Google)