Call for applications for PFN summer internship 2018

Preferred Networks (PFN) is looking for enthusiastic interns who can work with us in our Tokyo office this summer. Students who participated in the previous programs are also eligible to apply. We welcome students who want to help us develop new technologies, software, and services in a wide range of computer science areas including machine learning.  


Important notice:

Note that this program is only for students who already have visa eligibility to work as an intern this summer in Japan. We are not accepting applications from students who need support for obtaining the designated activity visa to work as an intern because the due date for processing such applications has already passed.


Guidelines for applicants


● Characteristics of PFN Internship

  • Over the two-month period, PFN engineers will be assigned to work with each of you as a mentor. You will have opportunities to discuss and study your theme with specialists in various fields including deep learning, computer vision, natural language processing, robotics, bio-healthcare, reinforcement learning, and distributed processing.
  • After the internship, you can make public your research result by writing a paper or making it OSS, to the extent possible.  


● Period

Start date:Between late July and early August depending on your schedule

End date:Friday, Sept.21, 2018

※You can choose to continue to work in the week of Sept. 24-28 under the same terms and conditions.

Note that this year’s internship will end on Sept. 21 in consideration of the fact that many schools start their fall semester in late September. If you need more time to finalize your research or want to spend more time with our staff, you can continue to work until the end of September under the same terms and conditions. We understand you may have school or family commitments during the internship which might range from lab activities to attending academic conferences, to returning home. We are very flexible about your need to take days of absence due to these reasons.


● Key Qualifications

PFN is seeking highly motivated and skillful individuals who can develop applications, tools, etc. on your own. Having knowledge or development experience in the themes listed below is a plus but not a must. Minimum requirements are:

  • Currently enrolled in high school, technical college, university, or graduate school. Negotiable for those attending other higher educational institution
  • Fluency in Japanese or English
  • Strong communication skills
  • Prior experience in programming (any language)
  • Willingness to come to work in our Tokyo office on weekdays

Do not hesitate to apply even if you don’t have prior experience in full-scale development.


【Important notes before you apply】

  • We are not accepting applications from students who need support for obtaining the designated activity visa to work as an intern because the due date for processing such applications has already passed.
  • You need to let us know in advance for any administrative work required for receiving academic credit from your school. Please note that depending on the complexity of the work, PFN may not be able to accommodate your request.


● Place of work

PFN Tokyo Office

Otemachi Bldg. 2F, 1-6-1, Otemachi, Chiyoda-ku, Tokyo, Japan 100-0004


● Basic working conditions and benefits

  • Salaries:2,500JPY an hour for a technical college, university, graduate school students. 2,000JPY an hour for high school students
  • Work hours:Eight work hours in principle. Five days a week excluding Saturdays, Sundays, public holidays.  
  • Commuting fee support:PFN will pay for your daily commute to and from office in an approved route.
  • Travel cost:For students traveling a long distance by plain or Shinkansen bullet train to participate in the internship, PFN will support a round trip to relocate to the Tokyo area.
  • Accommodation support:For students coming from distant parts who would take roughly 60 minutes or longer to commute, PFN will provide a housing allowance of 5,000JPY a day covering the entire period of your internship. You need to arrange a place to stay by yourself. Reasonable weekly rental apartments are available near PFN office ranging from 100,000 to 150,000 JPY a month. Please note that the accommodation allowance is taxable.


● How to Apply

Go to: Application form

※ Click the above form to apply. To access the application form, you will need to log in with a Google account.

Deadline:By 23:59 Monday, April 30, 2018, Japan time

For inquiries:Send us an email at


※About your portfolio

Summarize your skills and qualifications freely in a A4 paper to pitch yourself and highlight and showcase some of your best work such as software you have developed, a list of published papers, awards or prizes you have received, programming contests you have participated in, your blog, twitter account, and other social media sites.


● Themes

Let us know which of the following areas of study you would like to work on during the internship. We will decide your theme after speaking with you. You must choose your 1st and 2nd preferences in the application form. If you have more than two areas of interest, select the 3rd preference, which is optional.

  1. Theoretical study of Machine learning/deep learning
  2. Computer vision
  3. Deep reinforcement learning
  4. Robotics
  5. Bio-healthcare
  6. HPC and distributed data management for distributed deep learning/deep learning
  7. Natural language processing
  8. Speech processing
  9. VR/AR
  10. Human computer interaction, human machine interaction
  11. Applications of deep learning to animation, creator support
  12. Development of Chainer
  13. Development of area-specific libraries on Chainer
  14. R&D of machine learning algorithms such as anomaly detection
  15. Information visualization tool and front-end development for machine learning
  16. Machine learning research support, cluster management, experiment management system development
  17. Development of dedicated accelerator/processor for deep learning
  18. Development of compiler/optimizer for deep learning
  19. Development of IoT/Edge Heavy Computing platform
  20. Other
  21. (New) R&D of automatic tuning methods for deep learning
  22. (New) Video analytics (sports, etc…)


● Selection process

▼First screening

After sending the application by April 30, you will receive two tests: (1) Online self-interview (recording) (2) Coding test. Deadline for completing these tests is  May 14 (subject to change).


An interview will be scheduled sometime during the two weeks starting from June 5. For students living in distant areas, PFN will arrange a video chat such as Skype.

▼Letter of acceptance (by late June)

Call for applications for PFN AI residency program 2018-2019 in Tokyo

Preferred Networks (PFN) will be organizing an AI residency program in Tokyo for students from outside of Japan in 2018-2019.

We are a growing startup with about 120 members based in Tokyo, Japan, focusing on applying deep learning to industrial problems such as autonomous driving, manufacturing, and bio-healthcare. We are actively developing the deep learning framework Chainer.

We are looking for brilliant students who have expertise in various topics, such as deep learning, reinforcement learning, computer vision, bioinformatics, natural language processing, distributed computing, simulation, etc.

In previous years, by selecting highly capable interns and encouraging them to tackle challenging and important problems, some of our interns were able to have their work published at top conferences such as ICML, ICCV,  ICRA, and ICLR.

This year, we would like to expand our reach to attract talented students around the world and collaborate with them to tackle challenging problems in AI for a longer period, by introducing this AI residency program.

During the residency program, you will have a unique opportunity to collaborate with our excellent research team members at PFN and work on real-world applications of deep learning, while living in Tokyo; one of the most attractive cities in the world.


We are looking forward to receiving your applications! Please see below for the instructions.

●Target of this program

  • Students outside of Japan


●Work time & Location:

  • Business hours:
    8 hours/day, 5 days/week (excluding national holidays)
  • Location: Center of Tokyo
    Preferred Networks Tokyo office: Otemachi Bldg. 2F, 1-6-1, Otemachi, Chiyoda-ku, Tokyo, Japan 100-0004


●Period & Compensation:

  • The period of the residency program can be flexibly arranged between September 2018 and August 2019, the minimum term is 6 months
  • AI residency program students are paid a competitive salary
  • We will cover residence and travel cost



  • We can only accept Ph.D. students or new graduates who have been accepted for Ph.D. program starting 2018 Fall
    • Applicants are responsible for negotiating with their university for one year leave or deferring the admission to next year
  • Experience in at least one of the technology areas (listed below) other than only attending lectures
    e.g., published a paper, won a competition, part-time work, open source contribution
  • Strong programming skill (any programming language)
  • Fluent in either English or Japanese
  • Able to work fulltime on weekdays at our Tokyo office during the period


●Preferred experience & skills:

  • Machine learning and deep learning
  • Experience with NumPy / SciPy / deep learning frameworks
  • Experience with software & service development
  • Experience working with shared codebases (e.g. GitHub / bitbucket / etc)
  • Contribution to open source projects


●Candidate themes (subject to change)

   1. Technology areas: Sub-field of machine learning, such as

a. Deep learning theory

b. Reinforcement learning

c. Computer vision

d. Natural language processing

e. Parallel / distributed computing


   2. Application areas: Advanced applications, such as

a. Object detection / tracking / segmentation from image / video

b. Robotics / factory automation / predictive maintenance

c. Life science / healthcare / medicine

d. Human machine interaction

e. Design / content creation / visualization

f. Deep learning software (Chainer, CuPy, ChainerMN/CV/RL, etc)

g. Optimization for deep learning hardware


●Application information:

  • Resume / CV (PDF format only. Please DO NOT include any personal or private information [e.g., age, race, nationality, religion, personal address, phone number] except name, email address, affiliation)
  • Github account (optional)


●How to apply:

  • Please fill the google forms and submit
  • Due: March 20th, 11:59 pm Tuesday (PDT)

  • No late submission will be accepted
  • The review process takes about 6-8 weeks after submission
  • Usually, getting a visa for working in Japan takes up to 3 months


●Interview process:

  1. Document review
  2. One-way video interview (webcam, recording)
  3. Skype interview in English or Japanese (multiple times if necessary)


If you have questions, please contact us at (Sorry but no late application is accepted for fairness)