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Position

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

-Information

Contract

Full-time / Outsourcing (negotiable)

Salary

• Determined based on experience and ability

• Salary increases: Available (as needed)

• Bonuses: Twice a year (based on performance and results)

• Incentives: Available (e.g., sales incentives)

Location

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)

*Depends on employment status

Holidays

• Full two-day weekends (Saturday, Sunday, and public holidays)

• Year-end/New Year company holidays (December 30 - January 3)

• Paid leave: 20+ days annually

Example (first year):

- Joining Special leave: 5 days (granted on the date of hire)

- Annual paid leave: 10 days

(granted after 6 months of employment)

* From the second year: 16+ days granted annually

- Refresh leave: 5 days/year

• Other leave: Parental leave, maternity leave

• Bereavement leave


*Depends on employment status

 Allowances

• Office Attendance Allowance: Provided when working in-office

• Commuting Allowance: Full transportation expenses covered

• Remote Work Allowance: Provided when working remotely

• Position Allowance

• Overtime Allowance: Paid based on actual working hours


*Depends on employment status

Benefits

・Social insurance

・Corporate defined contribution pension plan

・Book purchase system

・Kaggle and AtCoder support system

・Use of Kilter Board


*Depends on employment status

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