Machine Learning Engineer (Lead Class)

Idein builds an edge AI/IoT platform (Actcast) for perceiving and controlling physical-world data, including next-generation automotive applications. This lead-class machine learning engineer will lead development of ML algorithms that solve domain problems, spanning requirements definition, technical research, implementation, and verification (ongoing operations/maintenance are not part of this role). Responsibilities include leading development while coordinating with team members, communicating with external stakeholders on technical matters and expectations, developing algorithms to process various sensor data, clarifying ambiguous domain requirements into concrete problems, researching and implementing methods (including paper-based approaches and original techniques), lightweighting and optimizing ML models to run on edge devices, and managing experiments, evaluation results, and next actions. Work uses Python and PyTorch, with GitHub, Slack, Google Workspace, and Notion for collaboration, and Docker, Linux, compute clusters, and Raspberry Pi for development; a BYOD policy applies. Deployment targets include servers, in-vehicle ECUs, Raspberry Pi, and Jetson devices. The position is based in Chiyoda-ku, Tokyo, primarily remote with occasional business trips or office attendance, full-time.