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Machine Learning Engineer

MI-6株式会社

  • Python
  • AWS
  • AI
  • Machine Learning
  • TypeScript
  • React
  • Data Science
  • Ruby
  • Node.js
  • statistics
  • Best optimization algorithm
  • Material Informatics
  • Salary ⁨¥⁩⁨5,000,000⁩ - ⁨8,000,000⁩
  • Company employee count 11 to 100

Company Info

MI supports research and development that focuses on the analysis software and proprietary material exploration platform. We contribute to the researcher's exploratory research support, material development and data analysis Hub. We also support the development and implementation of artificial intelligence and machine learning in the field of material analysis and machine learning. Furthermore, we actively support the implementation of statistical analysis, machine learning, and optimization in material analysis and machine learning, and support the development of researchers' potential through MI analysis software and proprietary material exploration platform development. In addition, we actively support the implementation of statistical and machine learning-oriented algorithms, and support the development of researchers' potential through MI analysis software and proprietary material exploration platform development.

Job Summary

We are experienced in developing SaaS products that promote material development using MI. We plan the following three points: 1. Best optimization algorithm development: Addition of functions to optimize the range of application of products and improvement of algorithm processing speed. 2. Product quality and precision improvement: Development of a test framework for the best optimization of product quality and precision assurance. 3. Collaboration with other teams: Conducting research on the implementation of MI within the company, collaboration with external teams, and PdM.

Duties

We mainly plan the following three points. 1. Development of the best optimization algorithm: Addition of functions to optimize the range of application of products and improvement of algorithm processing speed. 2. Product quality and precision improvement: Development of a test framework for the best optimization of product quality and precision assurance. 3. Collaboration with other teams: Conducting research on the implementation of MI within the company, collaboration with external teams, and PdM.

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Machine Learning Engineer

MI-6株式会社

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