The System Intelligence Machine Learning (SIML) organization is looking for an expert in Machine Learning and Computer Vision to lead an applied research team developing the next generation of multi-modal human sensing technologies. You will be part of a fast paced, impact-driven organization working on cutting edge machine learning that is at the heart of the most loved features on Apple platforms including Apple Intelligence, Camera, Photos, Visual Intelligence, etc! YOUR PRIMARY RESPONSIBILITIES INCLUDE: - Managing the team, ensuring high productivity and individual growth - Defining team roadmap and plans based on thorough understanding of product needs, organization and company goals, and the state of the art. - Technical, and preferably hands-on, guidance to the team on designing, and implementation of state-of-the-art visual recognition systems. - Effectively communicating results and insights gained to partners and senior leaders, providing clear and actionable recommendations. - Staying abreast with the latest trends, technologies, and best practices in machine learning, multi-modal foundation models, computer vision and natural language understanding. - Actively contributing to ML community at the company by disseminating research ideas and results, enhancing shared infrastructure, and mentoring fellow practitioners.
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Description
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)
Minimum Qualifications
- Proficient in Python, Pytorch or equivalent DL frameworks
- Proven track record to design and implement solutions using modern ML architecture
- Experience leading projects
Preferred Qualifications
- Masters, or Ph.D. in Computer Science, or Computer Engineering; similarly related fields, or equivalent experience.
- Background in research and innovation, demonstrated through publications in top-tier journals or conferences, patents, or impactful software developments.
- Experience managing teams
- Proficient in Python, Pytorch or equivalent DL frameworks
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,000 and $313,000, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .
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