Build AI Worker VoiceAgent’s web frontend, designing visual interfaces and admin features, selecting architecture, and delivering releases with TypeScript and React in a hybrid office/home role.
About this role
CyberAgent's Game and Entertainment division (SGE) has created an AI Strategy division to push "game plus AI" development across its game subsidiaries. It hires a Machine Learning Engineer who works inside game development and operation teams and carries problems from discovery and hypothesis through implementation to operational improvement.
The work is more than building models: it means integrating technology into real development and operation flows alongside planners, engineers, creators and producers. Examples include exploring problems and designing technical approaches, prototyping with machine learning, mathematical optimisation, generative AI and reinforcement learning, building models from in-game, user-behaviour and level data, putting models and support tools into live use and measuring their effect, and sharing results inside and outside the company.
Applicants need two or more years of Python development, practical or research experience in machine learning, data analysis, optimisation or generative AI, the ability to turn business problems into technical solutions, experience working with non-engineers, and genuine interest in games.
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