The Human and Object Understanding (HOUr) team at Apple is seeking ML leaders to advance face analysis technologies. This role involves leading a team to innovate and deploy solutions that enhance user experiences across various Apple products. Candidates will work in cross-functional settings, providing technical expertise and mentorship while focusing on real-time, efficient solutions. The position emphasizes collaboration with multiple teams to ensure quality and robustness in machine learning applications.

• Master's or Ph.D. in Computer Science, Computer Engineering, or a related field.
• Demonstrated technical leadership in industry with experience in leading ML teams.
• Extensive knowledge of large scale foundation models, including multi-modal LLMs or vision-language models.
• Strong programming skills in Python and C++, with proficiency in deep learning frameworks like Pytorch.
• A strong background in research and innovation, evidenced by publications or patents.
• Experience in transitioning prototypes into shipping products.
• Familiarity with developing algorithms for resource-constrained platforms.
• Excellent written and verbal communication skills.

• Lead an ML team in designing, implementing, and deploying advanced face analysis solutions.
• Interact with cross-functional stakeholders to gather product requirements and translate them into actionable ML plans.
• Communicate results and insights to partners and senior leaders, providing clear recommendations.
• Stay updated on trends and methodologies in computer vision and machine learning.
• Contribute to the ML community by sharing research ideas and mentoring fellow practitioners.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.