Summary
Posted: Mar 17, 2025
Weekly Hours: 40
Role Number:200577399
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)
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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.
Minimum Qualifications
- Bachelors, Masters, or Ph.D. in Computer Science, or Computer Engineering; similarly related fields, or comparable professional experience.
- Validated technical leadership in the development of user-facing generative models or model-driven recognition systems.
- Experience leading high-performance teams and demonstrated skills in managing sophisticated engineering and cross-functional projects
- Proficient in Python, Pytorch or equivalent DL frameworks
Preferred Qualifications
- Strong interpersonal and communication skills including ability to work in a self-directed environment and ability to present to senior management
- Background in research and innovation, demonstrated through publications in top-tier journals or conferences, patents, or impactful software developments.
- Proven track record to design and implement solutions using modern ML architecture
- 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.
More
- Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.