Manager, Machine Learning Research Engineering (Computer Vision), SIML - ISE
Apply NowCompany: Apple
Location: Seattle, WA 98115
Description:
Summary
Do you think Computer Vision and Machine Learning can change the world? Do you think it can transform the way millions of people collect, discover and share the most special moments of their lives? We truly believe it can! The System Intelligence Machine Learning (SIML) organization is looking for a hands-on, technically sound manager to lead a team of Research Engineers to develop next generation multi-modal human sensing technologies. You will be part of a fast paced, impact-driven Applied Research organization working on groundbreaking machine learning that is at the heart of the most loved features on Apple platforms including Apple Intelligence, Camera, Photos, Visual Intelligence, and more.
SELECTED REFERENCES TO OUR TEAM'S WORK:
https://machinelearning.apple.com/research/recognizing-people-photos (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/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/videos/videos-2024/autoplay/2024/10/apple-intelligence-image-playground/large_2x.mp4)
Description
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. Our 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.
This role focuses on growing and managing a team that designs and develops cutting-edge AI/ML models for human sensing, with a focus on building robust cross-domain identity recognition systems. As a manager, you will stay informed about the latest industry advancements, technologies, and best practices in machine learning and multi-modal foundation models, mentor team members, and foster collaboration with partner teams to develop and deliver impactful solutions.
THE TEAM'S KEY AREAS OF FOCUS INCLUDE:
- Designing, implementing, and deploying state-of-the-art visual recognition systems.
- Directly interacting with all cross-functional stakeholders to gather product requirements and translating these into actionable plans for ML research and development.
- Effectively communicating results and insights gained to partners and senior leaders, providing clear and actionable recommendations.
- Actively contributing to ML community at the company by disseminating research ideas and results, enhancing shared infrastructure, and mentoring fellow practitioners.
You will be a thought leader in the space with a demonstrable track record. There are exciting challenges and unsolved problems to explore.
Do you think Computer Vision and Machine Learning can change the world? Do you think it can transform the way millions of people collect, discover and share the most special moments of their lives? We truly believe it can! The System Intelligence Machine Learning (SIML) organization is looking for a hands-on, technically sound manager to lead a team of Research Engineers to develop next generation multi-modal human sensing technologies. You will be part of a fast paced, impact-driven Applied Research organization working on groundbreaking machine learning that is at the heart of the most loved features on Apple platforms including Apple Intelligence, Camera, Photos, Visual Intelligence, and more.
SELECTED REFERENCES TO OUR TEAM'S WORK:
https://machinelearning.apple.com/research/recognizing-people-photos (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/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/videos/videos-2024/autoplay/2024/10/apple-intelligence-image-playground/large_2x.mp4)
Description
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. Our 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.
This role focuses on growing and managing a team that designs and develops cutting-edge AI/ML models for human sensing, with a focus on building robust cross-domain identity recognition systems. As a manager, you will stay informed about the latest industry advancements, technologies, and best practices in machine learning and multi-modal foundation models, mentor team members, and foster collaboration with partner teams to develop and deliver impactful solutions.
THE TEAM'S KEY AREAS OF FOCUS INCLUDE:
- Designing, implementing, and deploying state-of-the-art visual recognition systems.
- Directly interacting with all cross-functional stakeholders to gather product requirements and translating these into actionable plans for ML research and development.
- Effectively communicating results and insights gained to partners and senior leaders, providing clear and actionable recommendations.
- Actively contributing to ML community at the company by disseminating research ideas and results, enhancing shared infrastructure, and mentoring fellow practitioners.
You will be a thought leader in the space with a demonstrable track record. There are exciting challenges and unsolved problems to explore.