List of Available Positions

■Positions

Machine Learning Engineer

​■Job Description

Development of new technologies using deep learning technologies and machine learning data analysis projects

■Annual Salary

​JPY 6,000,000~

* To be determined according to skills and experience
* Includes two bonuses

​■Application Requirements

<Required Technologies>

  • Python, Numpy, Scipy, Scikit-learn

  • Experience in TensorFlow / Pytorch development

  • Experience in team development (Github, Scrum, etc.)

  • Extensive development experience on Linux

<Prefeered Technologies>

  • Image recognition researcher

    • Image processing technology, OpenCV

    • Object recognition, Semantic Segmentation, Generative modeling

  •  NLP researcher

    • Neural language models, BERT, Transformer, RNN-based models

    • Traditional methods such as n-grams, Naive Bayes, Word2Vec, etc.

    • Graph theory, graph handling

  • Data science researcher

    • Machine learning

    • Big data analysis technology, database technology, NoSQL

    • Distributed processing, parallel computing

    • Winning experience in Kaggle, etc.

■Position

Contents Development Engineer

​■Job Description

  • Create course materials (lecture slides, exercise files in Jupyter Notebook format)

  • Curriculum design for the entire course

  • Selection of technologies to be included in the curriculum

  • Survey of the latest research, etc.

■Annual Salary

​JPY 6,000,000~

* To be determined according to skills and experience
* Includes two bonuses

​■Application Requirements

  • Interested in cutting-edge technology trends and motivated to spread technology to a wide range of society through educational content.

  • Experience working with Python

    • Experience using data analysis libraries (NumPy, Pandas, Matplotlib, scikit-learn, etc.) 

    • Experience coding with frameworks (PyTorch, TensorFlow 2)

    • Liberal arts level calculus, linear algebra, probability and statistics 

    • Theoretical understanding of machine learning (equivalent to PRML content) and deep learning (computer vision, natural language processing, generative modeling, reinforcement learning, etc.)

* Specialization in one of these areas is acceptable​

■Position ( Internship )

AI Course Assistant

​■Job Description

  • Assist with course-related tasks

  • Answer questions from students

  • Scoring project reports initiated by students, etc.

■Salary and Working hours

Daily wage: JPY 25,000 to JPY 30,000
* 6 to 8 hours of actual work per session
* The main task is to answer questions from the students, so you can work relatively slowly.

​■Application Requirements

<Data Scientist Course

  •  Experience working on Linux servers related to research and development

  • Working experience with Python

    • Experience using data analysis libraries (NumPy, Pandas, Matplotlib, scikit-learn, etc.)

    • Visualization

    • Machine learning

  • Experience in data analysis using statistics, big data, machine learning, etc. or equivalent knowledge

  • Understanding of machine learning theory (equivalent to PRML content)

<Deep Learning Course>

  • Experience working on Linux servers related to research and development

  • Experience working with Python

    • Experience using data analysis libraries (NumPy, Pandas, Matplotlib, scikit-learn, etc.)

    • Experience coding with frameworks (PyTorch, Keras, etc.)

    • Liberal arts level calculus, linear algebra, probability and statistics

    • Theoretical understanding of machine learning and deep learning (computer vision, natural language processing, generative modeling, reinforcement learning, etc.)

    • Experience implementing deep learning

  • Experience in data analysis using statistics, big data, machine learning, deep learning, or equivalent knowledge