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AI Research Engineer

- Information

Job Description

At NABLAS, we have created an environment where AI research engineers can demonstrate their performance according to their research field and area of expertise while also having the opportunity to learn about the latest AI technologies.

 We are looking for AI research engineers who want to take on big challenges, such as developing new technologies using deep learning, machine learning data analysis projects, and developing unique services!

 Main responsibilities:

  •  Design, development and verification of new deep learning algorithms
  •  Library implementations that can be used in various projects
  •  application development
  •  Research into the latest AI technologies
  •  project management

 Main research fields

 Image, voice, signal processing, machine learning, data mining, NLP, etc.

Key Requirements

  • Experience with various languages/libraries (Python, Numpy, Scipy, Scikit-learn, etc.)
  • Development experience with TensorFlow and PyTorch
  • Experience in team development using Scrum with Git and GitHub
  • Extensive development experience on Linux

Additional skills

Image recognition researcher

  • Knowledge of the latest technologies (image processing, object recognition, Semantic Segmentation, generative models, etc.)
  • Experience with OpenCV
  • NLP researcher
  • Knowledge and experience with conventional methods (neural language models, BERT, Transformer, RNN models, n-gram, Naive Bayes, Word2Vec, etc.)
  • Knowledge of graph theory and graph manipulation
  • Data science researcher
  • Knowledge of established machine learning to some extent
  • Knowledge of data science and statistics (big data analysis techniques, database technologies, NoSQL, distributed processing, parallel computing, etc.)
  • Experience participating in and winning data analysis competitions like Kaggle
  • Experience participating in and winning competitive programming competitions like AtCoder



Full-time / Outsourcing (negotiable)


To be determined based on experience and ability


Full remote is available.

Office : 1F Hongo Tsuna Building, 6-17-9 Hongo, Bunkyo-ku, Tokyo

Work Hours

Flextime system (core time / 10:30 - 16:00)

*Varies depending on employment status


  • 2 days off per week
  • National Holidays
  • Year-end and New Year holidays (December 30 - January 3)
  • Annual paid vacations
  • Special leave for new employees: 5 days upon hire
  • Refreshment leave: 5 days / year
  • Maternity/paternity leave, congratulation or condolence leave

*Varies depending on the employment status.


  • Executive allowance
  • Overtime allowance
  • Telecommuting allowance
  • Commuting allowance
  • Salary increase (as needed)
  • Bonus: Twice a year (based on performance and results)
  • Incentives

*Depends on employment status


  • Social insurance
  • Labor insurance
  • Corporate defined contribution pension plan
  • Trust-type stock option plan
  • Book purchase system
  • Kaggle and AtCoder support system
  • Use of Kilter Board

*Depends on employment status

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