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Deep learning Engineer / Researcher(到期)

公司名称
Inbound Technology株式会社
职位编号
131425
地点
Toranomon, 东京都, 日本
发布日期
2019年1月28日
行业
信息技术/IT
职务
其他信息技术、互联网、电信
工作类型
全职 / 有工作经验者 (非管理层)
工资
JP¥6.0M ~ JP¥8.0M/年
  • 可面议

职位要求

  • 英语: 精通 (preferred)
  • 提供签证担保

描述

[Deep Learning for Industry]
We are a technology company that specializes in deep learning
We apply cutting-edge technology to industries promptly and contribute to developments of businesses

{Business Contents}
・Consulting
Based on your inquiries on how deep learning technology can help solve business problems and your requests to introduce the technology to your business, we help you define your goals and create a plan to take concrete action.
・Research
For clients who want to apply deep learning technology to specific areas,
we investigate the latest research papers and applicable technology and propose the best model/solution.
・Development
According to your request, we have a flexible development scheme; from creating a prototype for verification of feasibility to developing a practical system for a full-scale introduction.
・Reproduction
For clients aiming for prototype development, who want to verify the results of the latest research, we reproduce the experiment done in the research using the same model/parameters as well as a dataset.


==[Position]=============================================

・Deep learning engineer/researcher

[MUST Requirement]
・people who can read and understand a major thesis
・Knowledge or experience of Python Deep Learning

[Requirements]
・A person who is quick to catch up with new technologies a person with an improvement Three years of deep learning experience: math, physics, or image experience; a person who feels that AI is more than a master's degree


[Work Style]
・We have a 12 to 17-hour core time system
・Two days a week for remote work available

[Application Process]
・document Screening
・First Interview (Culture Fit)
・Skill Test (one month or so)
・Final interview
*It takes time to research and develop and implement the paper.

Last modified on 2019年9月2日

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