The Machine Learning Engineer and Researcher will join the Creative Foundations team within Camera & Photos, focusing on inventing and implementing cutting-edge machine learning models. This role emphasizes transforming theoretical breakthroughs into user-friendly experiences, bridging the gap between research and product. Candidates should have a passion for photography and experience in visual and creative domains. The position involves pioneering novel approaches to image understanding and collaborating with diverse teams to enhance camera and photo experiences.

• MS or PhD in Computer Science, Machine Learning, Artificial Intelligence, Electrical Engineering, Applied Mathematics, Statistics, or a related field, or equivalent practical experience demonstrating deep ML expertise.
• Experience in machine learning, computer vision, or a related field with a strong portfolio of building and shipping models or publishing research.
• Deep understanding of modern ML architectures and techniques, including transformers, diffusion models, and efficient neural network design.
• Proficiency in ML frameworks such as PyTorch and comfort working across the full model lifecycle from research to production deployment.
• Experience with image understanding tasks such as semantic segmentation, scene recognition, and image captioning.
• Strong fundamental software engineering background.
• A track record of creative problem-solving and finding elegant ML-driven solutions.
• Published research at top-tier venues is valued, along with impactful shipped features or open-source contributions.
• Comfort navigating ambiguity in a fast-moving R&D environment.
• A personal connection to photography or visual storytelling.

• Pioneer novel approaches to image understanding by designing architectures and training strategies.
• Continuously survey state-of-the-art research and rapidly prototype high-potential ideas.
• Translate research advances into shippable features while leveraging model introspection techniques.
• Collaborate across disciplines with product designers, software engineers, and aesthetic science researchers.
• Push the boundaries of what is possible with machine learning in camera and photo experiences.

• 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.