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IN THE FIELD GUIDE

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Preferred Networks (PFN) is a company that vertically integrates AI technology across four layers: AI semiconductors, computing infrastructure, generative AI foundational models, and AI products and solutions. They develop and provide these technologies in-house and apply them to various industries to implement cutting-edge AI solutions in society.

THE PRODUCT, BEYOND THE PITCH

Editorially reviewed · Sources checked Sep 11, 2026

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A good fit for

  • New graduates and second-year new graduates with up to about 3 years of work experience seeking employment in AI technology fields.

Know the limitations

  • The position and duties are not guaranteed by the application course chosen; actual assignment is decided after selection based on aptitude and experience.
  • Applicants must reside in Japan after joining and obtain a work visa if applicable, even if they apply from overseas.

What you can do

  • AI technology is used to automate and improve efficiency in retail and distribution sectors.
  • AI solutions support infrastructure and public services to protect culture and daily life.

Features

  • Development and provision of AI semiconductors, computing infrastructure, generative AI foundational models, and AI products and solutions.

Integrations

Not confirmed yet.

Platforms & data export

Not confirmed yet.

THE COST FOR YOUR TEAM

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Published plan prices for your team size and usage. Results update as you type. Taxes, currency conversion and unlisted add-ons are excluded, and anything the source did not state is called out rather than guessed.

Known monthly subtotal

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1 of 1 tools could not be priced with these inputs, so this is not the full cost.

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Tool / planMonthlyPer yearWhat this assumes
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A practical workflow

  1. The selection process includes application and document screening, coding test for engineers, two rounds of interviews, HR interview and final interview, followed by an offer.
  2. First interview is conducted online; subsequent interviews may be in-person with travel expenses supported for distant candidates.

Based on the sources below. Editorial review does not imply hands-on product testing.

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