Lead AI strategy and business-model transformation for major enterprises, align C-suite stakeholders, design AI CoEs, and guide strategy through implementation with executive leadership.
About this role
This internship runs for three months and provides practical experience as an engineer in a deep-learning model development project focused on image anomaly detection. The intern will work through the project flow step by step, deepen their understanding of team-based development and AI projects, and build the knowledge, skills, and approach to problem solving needed for practical work. Depending on the results of the internship program, the role may transition to a part-time engineering position from the fourth month.
Required qualifications include general knowledge of computer science, knowledge of linear algebra, calculus, and statistics, and experience using Python. Experience independently implementing methods from scratch with libraries such as PyTorch or Scikit-Learn is welcomed. Development experience with games or web services is also welcomed. The posting additionally welcomes everyday conversational English speaking ability, including technical vocabulary, as well as the ability to identify and learn necessary technologies according to the situation.
The internship is intended for students in their third undergraduate year or above. It is designed for candidates interested in how deep learning and machine learning technologies are used in business rather than only in research, and for those who want to experience team development beyond university or laboratory work. The role involves working with a team on AI projects and developing the ability to investigate, think independently, identify and propose issues, and ask clear questions.
The company works on applied AI and digital transformation projects for industrial and social challenges. Technologies and domains mentioned include generative AI, including multimodal systems, image analysis, satellite data analysis, sensor data, and deep learning. The work environment allows employees to choose a preferred development environment, such as a Mac or Windows laptop, and provides access to shared development servers. Books and online courses are supported by the company.
The workplace is directly connected to Otemachi Station, at 1-6-1 Otemachi, Chiyoda-ku, Tokyo. Remote work is permitted, but the position is not fully remote. The engagement is long-term, starting from three months or more. Working time is one to three days per week, with at least 14 and fewer than 20 hours per week; days, number of days, and hours are negotiable. Compensation is negotiable.
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