Apple is seeking an experienced manager to lead a team of project managers responsible for driving the delivery of innovative, high-performance ML developer frameworks and OS features for users. This role is critical for enabling the Research to Production lifecycle of cutting-edge machine learning models that power user experiences on Apple's hardware and software platforms, underpinning key workflows across Camera, Siri, Health, Vision, and forming an integral part of Apple Intelligence.
Requirements
- 5+ years of experience in driving large scale program building machine learning powered products
- 2+ years of managing project managers, as well as experience in managing people managers
- Excellent program management skills including program structuring and managing multiple work streams interdependently
Responsibilities
- driving delivery of innovative, high-performance ML developer frameworks and OS features
- building critical infrastructure that begins with onboarding the latest machine learning architectures to Apple devices
- optimization toolkits to optimize these models to better suit the target devices
- machine learning compilers and runtimes to execute these models as efficiently as possible
- benchmarking, analysis and debugging toolchain needed to improve on new model iterations
- providing program management support for ML projects enhancing our ML developer APIs and inference runtime software
- delivering the high-performance compute foundations for Apple Intelligence
Other
- hire, lead, coach, inspire and nurture a team of Engineering Project Managers
- lead and grow an existing team responsible for providing program management support
- collaborate with other program management teams across SWE, AIML, SEG, HW teams to improve how we deliver projects in Apple at large
- Strong leadership skills and ability to inspire team members
- Strong ability to communicate abstract ideas clearly, manage comprehensive yet succinct project status update to all levels of audience, both verbally and in written forms
- Self-motivated and proactive, with demonstrated creative and critical thinking capabilities required to forge a path to success
- Experience with leading and improving existing and developing new engineering processes at scale
