The Video Computer Vision (VCV) group is seeking a highly motivated Machine Learning Systems Engineer to advance computer vision technology on Apple devices. This role involves training, evaluating, and deploying vision models specifically designed for Apple hardware. The team has developed innovative features like FaceID and Body Tracking, aiming to enhance user interaction with technology. The engineer will focus on optimizing model performance and efficiency while adhering to on-device constraints.

• Bachelor's degree in Computer Science, Machine Learning, or a related discipline.
• 3+ years of relevant industry experience.
• Strong ML fundamentals and a proven track record of writing high-quality production code for on-device CV/ML features.
• Solid understanding of operating system fundamentals and extensive programming experience in Python and C++.
• Hands-on experience with PyTorch and familiarity with the end-to-end ML lifecycle.
• Experience with Supervised Fine-Tuning (SFT) pipelines for adapting vision and multimodal foundation models.
• Robust understanding of machine learning architectures, specifically Multimodal LLMs.
• Programming experience with Swift and familiarity with CoreML, CoreFoundation, and RealityKit frameworks.
• Fundamental knowledge of real-time video pipelines, image transformations, and rendering loops.
• Experience optimizing models for neural network accelerators.

• Train, evaluate, and deploy purpose-built vision models on Apple hardware.
• Develop innovative techniques to optimize model performance, efficiency, and scalability.
• Ensure a seamless user experience under strict on-device constraints.
• Collaborate with hardware, software, and AI teams to innovate across the full stack.

• 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.