The Senior Computer Vision & Machine Learning Engineer will join Apple's Creativity Apps team to innovate in the creative space by developing advanced editing tools. This role involves working with a team of creatives, designers, and engineers to push the boundaries of Generative AI. The ideal candidate will have a strong background in computational photography and multi-modal image editing. This position offers a highly visible opportunity to impact the development of cutting-edge technologies.

• MS or PhD in Computer Science, Machine Learning or a related field.
• 5+ years of significant industry experience delivering products using computational photography and machine learning technologies.
• Extensive knowledge in machine learning and deep learning techniques, particularly multimodal LLMs, Mixture of Experts, PEFT, and RLHF.
• Strong programming skills in high-level languages like Python and experience with deep learning toolkits such as PyTorch, JAX, or TensorFlow.
• Experience delivering customer-facing products with computer vision, computational photography, or generative AI features.
• Publications at major conferences such as CVPR, ICCV, ECCV, NeurIPS, ICML, or ICLR.

• Collaborate with cross-functional teams to innovate and develop new creative editing tools.
• Build, evaluate, and deploy vision LLMs or instruction-following image editing models.
• Optimize models and algorithms for efficient performance on resource-constrained platforms.
• Communicate effectively with diverse audiences, from non-technical individuals to experts.
• Contribute to large codebases while delivering high-quality software at scale.

• 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.