Own Pilot.Auto’s release lifecycle by building backend services, CI/CD pipelines, automated release gates, and traceable build and test workflows for autonomous-driving software.
About this role
This MLOps engineer develops the Co-MLOps platform used to build shared datasets for autonomous-driving AI. The platform supports both ADAS edge models and end-to-end AI development.
Depending on experience, work covers one or more areas: active learning, scene descriptions, auto-labeling, generative data processing, domain adaptation, similar-data detection, automated data-quality checks or reference AI models. Responsibilities span development, improvement and operation.
Applicants need professional software development in languages such as Python, C++ or Go, practical machine/deep-learning project experience, and training-dataset construction. Proficiency in at least one of C++, ROS, ROS 2, Python or Go, plus Linux and Git development, is required. Communication skills in Japanese and/or English are also required.
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