As a Machine Learning Engineer in the Video Engineering group at Apple, you will develop innovative ML models that enhance photo and video experiences across various products. This role emphasizes the application of machine learning techniques to tackle complex 3D visual challenges, contributing to features like 3D photos and immersive video. You will work in a fast-paced environment, focusing on generative AI and computer vision. Your expertise will help shape the future of Apple's product offerings, impacting millions of users.

• Bachelor's degree in Computer Science, Electrical/Computer Engineering, or a related field.
• 10+ years of experience developing and shipping machine learning models, with a focus on computer vision or generative AI.
• Expert-level proficiency in Python and PyTorch or equivalent ML frameworks.
• Strong experience with diffusion models for image synthesis, video generation, or 3D generation.
• Solid understanding of 3D computer vision including depth estimation and 3D reconstruction.
• Working knowledge of 3D computer graphics concepts such as rendering and camera models.
• Working knowledge of C++ for performance-critical components.
• MS or PhD in Computer Science, Machine Learning, or a related field.
• Publications in top-tier ML or vision venues.
• Experience with video diffusion models or neural radiance fields.
• Experience with distributed training at scale.
• Familiarity with on-device ML deployment.
• Track record of shipping ML-powered features in consumer products.
• Good written and oral interpersonal skills.

• Develop breakthrough machine learning models that power spatial media features.
• Apply cutting-edge machine learning techniques to complex 3D visual challenges.
• Collaborate with a fast-paced team to shape upcoming products.
• Leverage AI coding assistants and LLM-based tools to accelerate development.
• Take ideas from research to production in the field of generative AI and computer vision.

• 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.