The role involves working as part of a team of computer vision and machine learning engineers focused on developing real-time 3D perception and spatial understanding technologies for Apple products. The team is responsible for creating algorithms and systems that enhance 3D spatial understanding, impacting millions of users. Candidates will engage in training and optimizing deep learning models and integrating them into production systems. This position offers the opportunity to contribute to innovative products that aim to inspire and delight users.

• Master's or equivalent practical experience in Computer Science, Computer Vision, Machine Learning, or a related technical field
• Experience in deep learning with demonstrated work in 3D vision or geometric deep learning
• Proficiency in Python and in a modern deep learning framework such as PyTorch or JAX
• Strong mathematical foundations in machine learning, computer vision, or related fields
• Experience with foundation model architectures and training methodologies
• PhD or equivalent practical experience in Computer Science, Machine Learning, Computer Vision, or a related technical field
• Demonstrated expertise in deep learning with a publication record in relevant conferences or a strong track record of applying deep learning techniques to real-world products
• Experience with large-scale distributed training and model parallelism
• Familiarity with 3D computer vision concepts such as multi-view geometry, depth sensing, camera models, or 3D reconstruction
• Proficiency in C++ or experience integrating ML models into performance-critical systems
• Strong communication skills and ability to present research findings to both technical and non-technical audiences

• Help design, build, and ship core 3D perception technologies used by millions of users across Apple's ecosystem
• Develop algorithms and systems that enable 3D spatial understanding
• Train and optimize deep learning models for 3D perception tasks
• Build and maintain training data pipelines
• Improve model quality and efficiency through experimentation
• Integrate trained models into real-time production systems

• 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.