Design and implement machine learning algorithms that process image or time-series data measured by various sensors in different Apple products Deploy Apples massive computing platform with thousands of GPUs and CPUs ready just for you to establish scalable, efficient, automated processes for large-scale data analyses, model development and model validation Communicate advances ideas to a focused team - Develop innovative tools and metrics that change the way we look at problems Work cross-functionally with sensor architects and software engineers to build the next generation of sensing technologiesBS degree in CS, EE, Statistics, or other related field and 3 years of experience Strong background in Deep Learning and classical Machine Learning, including but not limited to CNN/RNN architectures, GAN, active learning, k-shot learning and model complexity reduction techniques Track record of coming up with new ML ideas, as proven by publications, patents or open-source projects Experience with one or more Deep Learning packages including but not limited to TensorFlow and PyTorch Proficiency in Python programmingMS or Ph. D. degree in CS, EE, Statistics, or other related field Experience in human computer interaction (HCI) space Experience with signal processing Familiarity with C++ or Objective-C programming Experience processing large-scale data sets using Mesos, Spark, or Hadoop Past experience in creating high-performance implementations of deep learning algorithms.