On-Device Machine Learning Engineer

As part of the Video Computer Vision (VCV) team, you will deploy purpose-built vision models on Apple devices, developing innovative techniques to optimize their performance, efficiency, and scalability on-device. Convert and integrate foundation models for on-device deployment. Evaluate power and performance of models running on Apple devices. Optimize on-device inference latency and efficiency of CV/ML models. BS and a minimum of 10 years relevant industry experience. Strong knowledge of model compression techniques such as pruning, distillation, quantization and weight clustering. Solid understanding of operating system and extensive programming experience in Python and C++. Experience working with PyTorch. Experience with machine learning model development lifecycle, including data preprocessing, model training, evaluation, and deployment. Foundational understanding of machine learning: MultiModal LLMs and integration of ML components into production systems. Experience with CoreFoundation, RealityKit and CoreML frameworks. Fundamental knowledge of real-time video pipelines, image transformations, and rendering loops. Programming experience with Swift.

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