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Apple Media Products - Senior Applied Researcher, Machine Learning

Apple, Inc.
United States, Washington, Seattle
July 19, 2022
Summary Posted: Mar 29, 2022 Weekly Hours: 40 Role Number: 200357490 The Apple Media Products team is one of the most exciting examples of Apple's long-held passion for combining art and technology. These are the people who power Apple Music, Apple TV, Podcasts, Fitness+, Books and the App Store. And they do it on a substantial scale, delivering a best-in-class experience to more than 150 countries worldwide. While Apple Media Products is rapidly emerging to be a big part of Apple's business, our teams remain small and nimble. Thanks to Apple's unique integration of hardware, software, and services, we partner multi-functionally to get behind a single unified vision. That vision always includes a deep commitment to strengthening Apple's privacy policy, one of Apple's core values. We are now looking for an extraordinary Applied Researcher to join our team and develop innovative ML solutions. Key Qualifications Proven understanding of foundational concepts in statistics, optimization, time series modeling, classical machine learning and deep learning. Deep expertise in one or more of these areas. Strong coding skills to quickly build prototypes in Python, Scala, R, C/C++ or Java. Ability to work cross-functionally with engineering teams to deploy and scale ML solutions. Ability to understand the big picture, identify gaps, propose solutions and test them. Ability to distill complex scientific concepts to a wide audience. Passionate about mentoring. Description You will research, design and develop ML based solutions for a variety of use cases. These use cases range from user facing features for Apple's media products to engineering optimizations that makes our products work like magic. We are in very early days of what we have set out to do, so you have the opportunity to influence our journey and deliver significant, step function changes along the way. As a research group, we participate in conferences and brain-storm ideas collaboratively - we are looking forward to a new hardworking and enthusiastic member to join our group! Education & Experience MS/PhD in Machine Learning, Statistics, Economics, Operations, Research, Engineering, Applied Math, Computer Science or any other quantitative discipline. Or, equivalent proven industry experience. Additional Requirements