Edge ML Infra Engineer for Real-Time Perception

A cutting-edge technology company in San Francisco is seeking an ML Infrastructure Engineer to build and scale machine learning systems for real-time perception and inference. This role involves designing scalable training pipelines for computer vision models, optimizing them for edge devices, and collaborating closely with research teams. Candidates must have strong experience with ML frameworks like PyTorch and TensorFlow, alongside a deep understanding of computer vision architectures. Competitive compensation and opportunities for growth in a dynamic environment are offered.

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