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 senior machine-learning engineer develops end-to-end models for autonomous driving, from design and training through evaluation and deployment on vehicle ECUs. The work balances model quality with limited computing resources and real-time constraints.
Responsibilities include research-paper reviews and reproduction, benchmarking, model optimization, dataset collection and preprocessing, and data-quality pipelines. The engineer also develops training and evaluation infrastructure, including MLOps and distributed training, and contributes to open-source models and collaboration.
Applicants must have professional machine-learning experience in autonomous-driving perception and experience deploying models as products, including MLOps. Proficiency in Python and PyTorch, Japanese communication skills, and team-management experience are required.
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