internship

Call for Applications for PFN Summer Internship 2019 in Tokyo

The application for PFN Summer Internship 2019 was closed.
Thank you for many applications.


Preferred Networks (PFN) is looking for enthusiastic interns who can work with us in our Tokyo office this summer. Students who applied for previous internships are also eligible to re-apply (except those who previously interned with PFN). We welcome students who want to develop new technologies, software, and services across a wide range of computer science areas including machine learning with us.

 

Important notice:

Note: This program is only for students who already have visa eligibility to work in Japan as an intern this summer. 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.

 

 

Characteristics of PFN Internship

  • Over the two-month period, PFN researchers and engineers will be assigned to work with you as a mentor. You will have opportunities to discuss, study, and develop in 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 your research result public by writing a paper or making it OSS, to the extent to which is possible.  


 

Duration

  • Start date: Early August, depends on your schedule
  • End date: Sept. 20 (Fri), 2019
    • You can choose to continue to work in the week of Sept. 24-27 under the same terms and conditions.
      • This year’s internship will end on Sept. 20 in principle in consideration of the fact that many schools start their fall semester in late September.
      • If your school is not the case stated above and you need more time to finalize your research or want to spend more time with our staff, you can extend your internship until Sept. 27 under the same terms and conditions.
      • We understand you may have to be absent for e.g. lab activities, attending academic conferences, returning home for family commitments. We are flexible about your need to take day-off due to these reasons.



Theme List

  • For 2019 Domestic Internship at PFN, we prepared the themes listed further below.
  • During the selection process or after completion, you will discuss with our members to finalize your theme. You must at least choose your 1st and 2nd preferences in the application form. If you have more than two areas of interest, select a 3rd preference, which is optional.

 

Themes:

  1. Theoretical research of ML/DL
  2. Computer vision for 3D scene
    • Neural networks for 3D tasks (differentiable renderer, 3D reconstruction using neural network)
    • Development of SLAM and 3D reconstruction
    • Visual-SLAM
  3. Computer vision on time-series dataset
    • Video analytics (sports, etc…)
  4. Computer vision for other general topics
    • Object detection
    • Segmentation
    • Image classification
    • Few-shot learning
    • Image generation
  5. Application of deep learning to Anime / Supportive software for creators
  6. Reinforcement learning
  7. Research and development on applications of machine learning algorithms such as mathematical optimization, simulation, and time-series prediction
  8. Bio-healthcare
  9. Chemoinformatics / Materials Informatics
  10. Dialog, semantic parsing, symbol grounding, reasoning, or translation
  11. Speech and signal processing
  12. Interface and interaction
    • VR or AR
    • Human Computer Interaction / Human Machine Interaction, Human Robot Interaction
  13. Robotics – DL/DRL for robotics
  14. Robotics – Research and development of robot simulation
  15. Robotics – Planning of mobile robots
  16. Development of Chainer or libraries on Chainer
    • Development of Chainer
    • Development of CuPy
    • Development of area-specific libraries based on Chainer (such as ChainerCV, ChainerRL, ChainerChemistry and ChainerUI)
  17. Research and development on performance optimization of machine learning, etc.
    • Optimization of NN models for inference
    • Development of compiler techniques for deep learning
    • Development of application software for our in-house developed accelerators
    • Development of processor, low-power computer architecture and VLSI technology for deep learning
  18. Research and development of infrastructure for machine learning
    • HPC and distributed data management for distributed deep learning / deep learning
    • Development of experiment management systems, cluster management, experimental environment optimization for machine learning
    • Research and development of Edge Heavy Computing/In-Network Computing
    • Development of Optuna
  19. Research and development of pipeline automation tools for machine learning
    • Topics related to automation of machine learning pipeline, including hyper parameter optimization, architecture search, and feature engineering
  20. Front-end development
    • 【Renewal on April 5th】Development of information visualization tool, annotation tool / front-end for machine learning
    • Development of information visualization tool / front-end for machine learning
  21. Product Design
    • Concept design, sketch and user interaction for robot products
    • Development of 3D-CAD models and hardware prototypes
  22. Others
    • Free topic. We also welcome self motivated applicants who can take the lead of their own research project.

 

 

Internship Location

PFN Tokyo Office

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

 

 

Key Qualifications

  • PFN is seeking highly motivated and skillful individuals who can develop applications, tools, etc. independently.
  • If you have knowledge or development experience in the themes that are stated in【Theme List】section, we’ll take them into consideration, but it’s not required. The minimum requirements are:
    • Currently enrolled in high school, technical college, university, or graduate school. Negotiable for those attending other higher education institutions
    • Fluent in Japanese or English
    • Strong communication skills
    • Prior experience in programming (any language)
    • Can work from our Tokyo office on weekdays
      (we’re not accepting remote working for the internship program currently)
  • 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. Call for such applications for this year has already been closed.
  • Non-Japanese students who are studying at Japanese universities with student visa must make sure to get 【Permission for Other Activity / 資格外活動許可】before the start date of your PFN internship program
  • You need to let us know in advance if any administrative work is required to receive academic credit from your school. Please note that depending on the complexity of the work, PFN may not be able to accommodate your request.

 

 

How to Apply

  • Click this application form to apply. To access the application form, you will need to log in with a Google account.  We use your personal information filled in the application form for selection of summer interns.
  • About the submission of your portfolio
    • Summarize your skills and qualifications freely in an A4 paper to pitch yourself.
    • Highlight and showcase some of your best work such as software you have developed, published papers, awards or prizes you have received, programming contests you have participated in, your blog, your sites, Twitter account, and other social media sites.
    • Please upload it using the “Portfolio to pitch yourself” field in the application form.
  • Deadline:April 18th (Thu) 12:00 PM JST (No late submission allowed)
  • For inquiries:email to intern2019-admin@preferred.jp

 

 

Selection Process

  • First screening
    • After we close the application on April 18, we will send the coding tests to all applicants (in principle) on April 19.
      【Updated on Mar 29】For those who choose 21. Product Design, we will send you the guideline of a task instead of coding test.
    • The deadline for completing these tests is May 7 (subject to change).
  • Interview
    • The interview will take place within 3 weeks from May 27.
    • For students living in distant areas, PFN will arrange an online (video) interview via Wepow.
  • Offer
    • The letter of acceptance is planned to be delivered on June 25 or later

 

 

Basic Employment Conditions And Benefits

  • Salaries:
    • 2,500 yen an hour for technical college, university, graduate school students
    • 2,000 yen an hour for high school students
  • Work hours:8 hours in principle. 5 days a week excluding Saturdays, Sundays, and public holidays.  
  • Commuting fee support:PFN will pay for your daily commute to and from the office in an approved route.
  • Travel cost:For students traveling a long distance by plane or Shinkansen to participate in the internship, PFN will support the cost for one round trip to relocate between the Tokyo area and the place where you’re currently living.
  • Accommodation support:For students coming from distant areas, PFN will provide an accommodation allowance of 5,000 yen per day for the entire period of your internship including holidays.
    • 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 yen a month.
    • Please note that the accommodation allowance is taxable.

Summer Internship 2019 for students from outside of Japan

※Note:

Official application for the 2019 summer internship program has been closed, we look forward to your application for the 2020 summer internship in this September!

 

Preferred Networks (PFN) will be organizing internship programs 2019 summer in Tokyo. In order to make the process smooth for students from outside of Japan, we have already opened an early bird application for them.

We are a growing startup with about 190 members based in Tokyo, Japan, focusing on applying deep learning to industrial problems such as autonomous driving, manufacturing, and bio-healthcare. Recently we revealed our plan towards personal robots. We are also actively developing the deep learning framework Chainer.

We look for brilliant students who have expertise on various topics, such as deep learning, robotics, computer vision, bioinformatics, human computer interaction, distributed computing, simulation, etc.

In previous years, by selecting highly capable interns and encouraging them to tackle challenging and important problems, some of the internship results have been published at top conferences such as ICML, ICLR or workshops at ICRA, ICCV, and NIPS.

During the internship, you will have a unique opportunity to collaborate with highly motivated experts for working on real-world applications of deep learning, while staying in Tokyo, one of the most attractive cities in the world.

We are looking forward to receiving your applications, following the instructions below.

 

REQUIREMENTS

 

  • Target of this program:

    • Students outside of Japan

 

  • 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 (official application for 2019 summer internship program has been closed, we look forward to your application for 2020 summer internship in this September!)and submit your application ※Please DO NOT submit your application via workable application form (or LinkedIn etc.) but the google form only!
    • Due Date: January 7th Monday, 12:00 PM JST
    • No later application that said due date above will be accepted (we are planning to open, another call for students in Japan by April)
    • The review process takes about 2-3 weeks after submission
    • Usually, getting a visa for working in Japan takes up to 3 months

 

  • Interview process (expected time to complete: 6-8 weeks):

    • Document review(※You’ll receive the result during the 1st~2nd week due to the year-end holiday in Japan)
    • One-way recorded interview
    • Live interview with our engineers / researchers including coding test

 

  • Requirements:

    • Experience in at least one of the technology areas (listed in the application form) other than lectures
      e.g., published a paper, won a competition, part-time work, open source contribution
    • Basic knowledge and skills of the technical field you are applying to
    • Formally enrolled in university or research institute outside of Japan, or have recently graduated
    • Fluent in English or Japanese
    • Able to work full-time on weekdays at our Tokyo office during the period

 

  • Preferred experience & skills:

    • Strong programming skill (any programming language)
    • Experience with Numpy / scipy / deep learning frameworks / ROS
    • Experience with software, service, or machine development
    • Experience working with shared codebases (e.g. GitHub / bitbucket / etc)
    • Contribution to open source projects

 

  • Work time & location:

    • 8 hours/day, 5 days/week (excluding national holidays)
    • Location: Center of Tokyo
      Preferred Networks Tokyo office: Otemachi Bldg. 3F, 1-6-1, Otemachi, Chiyoda-ku, Tokyo, Japan 100-0004
      https://www.preferred-networks.jp/en/company
    • Contact: intern2019-admin@preferred.jp

 

  • Affiliations of past interns (partial list):

    • Université de Montreal
    • University of Waterloo
    • University of Texas at Austin
    • University of Texas at Dallas
    • University of Southern California
    • University of Michigan
    • Sharif University of Technology
    • Singapore University of Technology and Design
    • Rutgers University
    • Indian Institute of Technology
    • Imperial College London
    • Chinese Academy of Sciences
    • Brown University

 

BENEFITS

  • The period of the internship can be flexibly arranged from a list of beginning/ending dates
  • We will cover round-trip flight cost
  • Residential and living expense support will be provided
  • Interns are paid a competitive salary
  • We require a minimum of twelve weeks (60 business days), in order to be able to tackle a challenging task

 

For Applying:

Official application for the 2019 summer internship program has been closed, we look forward to your application for 2020 summer internship in this September!

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 intern2018@preferred.jp

 

※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).

▼Interview

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
    https://www.preferred-networks.jp/en/about

 

●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

 

●Requirements:

  • 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 hr-pfn@preferred.jp (Sorry but no late application is accepted for fairness)