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Apple Machine Learning Engineer United States, California, Cupertino 541378051
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- Master’s degree or foreign equivalent in Computer Science, Electrical Engineering or related field.
- Experience and/or education must include:
- Building high-performing deep learning models for perception.
- Implementing custom deep learning models using PyTorch and TensorFlow to build high performing end-to-end machine learned systems.
- Using network architectures such as convolutional networks, recurrent architectures, Transformers, to perform error analysis and data deep dives.
- Implementing 3D object detection, tracking, panoptic segmentation, self-supervised learning, and behavior prediction for scene understanding.
- Building scalable data pipelines that curate, pre-process and store multimodal datasets using Spark, Amazon Web Services and Google Cloud Platform.
- Optimizing deep learned models for on-device deployment through quantization, distillation and profiling.
- Proficiency in Python and git version control for contributing to and maintaining the codebase.
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