ISE, SIML - Data Engineer at Apple (Cupertino, CA)
Do you think Computer Vision, NLP and Machine Learning can change the world? Do you think it can transform the way millions of people capture, discover and share the most special moments of their lives? We truly believe it can! The System Intelligence and Machine Learning (SIML) group is responsible for crafting machine learning solutions to extract high level structure information from images, videos and text shipping on all Apple platforms (macOS, iOS, tvOS, watchOS). Examples include face recognition, scene classification, OCR, handwriting recognition as well as the support for internal tools. We, the SIML Data Team, are responsible for crafting and building high quality datasets at scale. At the heart of machine learning, data defines how Apple features and products operate and what is the final user experience that will impact millions of our customers. This is an exciting time to join us: grow fast, and have an impact on multiple key features on your first day at Apple!
Our team works in close interaction with R&D, infrastructure and client teams, as well as with other groups and other functions across Apple (legal, privacy) and externally. This position focuses on designing and implementing smart data pipelines based on advanced computer vision technology, NLP and humans in the loop. You will be responsible for the design and development of the data pipelines, automation, visualization and tools that constitute the end-to-end process for building models, from raw data to trained model to evaluation to deployment. You'll partner with data infrastructure and data producing teams to ensure that we have high quality, representative data. You'll work with ML engineers to refine the modeling process to enable faster iteration and better modeling decisions and deploy models more rapidly to customers. You'll collaborate with data scientists and analysts to build insights from customer analytics and feedback into the process to complete the cycle of continuous improvement. Your work will impact hundreds of millions of Apple's customers and help people communicate more easily in the languages and modalities of their choice.
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