The role involves working as an on-device Machine Learning Engineer within Apple's Video Computer Vision Face and Body technologies team. The team focuses on developing and implementing advanced computer vision and graphics algorithms that enhance Apple Vision Pro's capabilities. You will engage in the entire feature lifecycle, from data collection to model training and software shipping. The position requires collaboration with various teams to create innovative, power-efficient applications for Apple devices.

• 3+ years of industry experience developing and implementing computer vision, ML, or computer graphics algorithms on-device.
• Proficiency in coding with Python and C/C++.
• Knowledge of optimizing algorithms and software for resource-constrained low-power devices.
• Experience in 3D computer vision and image processing.
• Bachelor's degree in a relevant field.
• Familiarity with ML learning techniques such as CNN, transformers, and diffusion models.
• Proficiency in frameworks such as PyTorch or JAX.
• Strong problem-solving skills with proven experience in contributing to end-to-end project lifecycles.

• Develop and implement state-of-the-art computer vision and graphics algorithms.
• Engage in the entire feature lifecycle from data collection design to shipping software.
• Collaborate with ML researchers and engineers across various teams.
• Propose novel algorithms and validate them through prototyping and training.
• Optimize machine learning models for performance and power efficiency.

• 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.