Machine Learning Engineering Manager (Computer Vision)

1 Month ago • All levels • $181,000 PA - $313,000 PA

Job Summary

Job Description

As the manager of the ML team, you will be responsible for establishing the long-term strategy and research roadmap. You will also ensure strong cross-functional collaboration and alignment with partner teams, while guiding team execution to deliver ML models and benchmarks on a timely manner. The team's mission involves designing and developing cutting-edge AI/ML models for human sensing, specifically focused on building robust cross-domain identity recognition systems. Multi-modal human sensing is a key capability that enables intelligent experiences. This includes personalized Natural Language Search, Memories Creation, and personalized Image Generation. Efficient real-time visual human sensing powers marquee Photography experiences and paves the way for more natural human-device interactions.

Job Details

As the manager of the ML team, you will be responsible for setting the long-term strategy and research roadmap, ensuring strong cross-functional collaboration and alignment with partner teams, and guiding team execution to delver ML models and benchmarks on a timely manner. The charter of the team is to design and develop cutting-edge AI/ML models for human sensing, with a focus on building robust cross-domain identity recognition systems. Beyond identity, multi-modal human sensing is a foundational capability that powers intelligent experiences based on key human traits such as identity, expression, clothing, action, gesture, gaze and human-object interaction. Major Apple Intelligence experience such as personalized Natural Language Search, Memories Creation, as well as personalized Image Generation are powered by our ability to learn robust representations of visual human traits. Efficient real-time visual human sensing powers marquee Photography experiences such as Cinematic mode and Photographic Styles, person recognition in home cameras via HomeKit, communication experiences such as Center Stage, and paves the way for more natural human-device interactions, for e.g., with the DockKit framework. SELECTED REFERENCES TO OUR TEAM’S WORK: https://machinelearning.apple.com/research/recognizing-people-photos https://www.apple.com/newsroom/images/2024/10/apple-intelligence-is-available-today-on-iphone-ipad-and-mac/article/Apple-Intelligence-Photos-search_inline.jpg.large.jpg https://www.apple.com/newsroom/videos/videos-2024/autoplay/2024/10/apple-intelligence-image-playground/large_2x.mp4 https://www.apple.com/newsroom/images/2024/10/apple-intelligence-is-available-today-on-iphone-ipad-and-mac/article/Apple-Intelligence-Photos-Memory-Movie_inline.jpg.large.jpg https://help.apple.com/assets/6222428998C2CE34C75A5252/6222428B98C2CE34C75A5267/en_US/d74d7beea7259320d4b46ceb3a4b49da.png https://support.apple.com/en-my/102475 https://support.apple.com/en-us/111102 (https://support.apple.com/en-us/111102) HTTPS://DEVELOPER.APPLE.COM/DOCUMENTATION/DOCKKIT (https://developer.apple.com/documentation/DockKit)

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