This position is closed and is no longer accepting applications.

Machine Learning Engineer

Net Smile Bunkyo-ku, Tokyo
    💴 ¥8M ~ ¥12M annually
    🏡 Fully remote
    🧪 2+ years experience required
    💬 No Japanese required
    🌏 Japan residents only
    🧳 No relocation support

About Net Smile

Net Smile Bunkyo-ku, Tokyo

We use AI, Machine Learning, and NLP to build systems that help automate tasks for businesses. Our main product is AIScanRobo – a system for extraction of relevant information from printed documents for automating routine office work.

Key benefits

  • Flexible work hours
  • No compulsory overtime
  • Small, international team

About the position

We are looking for a practically minded Machine Learning Engineer to help us with research on ML techniques with a focus on practical application of ML in production systems.

The ML Engineer will help us investigate and research state of the art machine learning techniques and develop models for solving a variety of problems. We use machine learning both to improve our own platform as well as to do proof of concept solutions for clients. We are focused both on giving good results as well as developing models and techniques that can be used in a cloud environment with limited resources.


  • Develop practical solutions for real world problems
  • Survey of research papers and implementation based on suggested techniques
  • Contribute to our Agile software development process
  • Work on our main products as well as smaller projects for specific customers


  • B.A. or M.S. degree in a related technical field
  • 2+ years of experience in developing machine learning models
  • Team development experience
  • Strong desire to put technology into actual service

Nice to haves

These aren’t required, but be sure to mention them in your application if you have them.

  • Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field
  • Knowledge about Computer Vision and/or Natural Language Processing
  • Deep understanding of Python/C++
  • Experience in handling large-scale data with AWS
  • Experience in presenting scientific papers in international conferences


8 to 12 million JPY annually.

Hiring Process

  1. 1

    1st technical interview

    All interviews we conduct are remote via Google Meet. The first interview involves whiteboard coding.

  2. 2

    Take home ML test

    We’ll give you a take-home machine learning test.

  3. 3

    2nd technical interview

    The second interview will be to discuss the results of the take-home test.

  4. 4

    HR Interview

    The HR interview will be a more general check of if you’re a cultural fit. It will be conducted by one or two members of the HR team, and often the engineering manager will participate as well.

  5. 5

    Hiring Interview

    This final step, conducted the same day as the HR Interview, will be with the CEO, who will ask you about things like your motivation for joining.

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