This role involves conducting innovative foundational research in machine learning at Apple. Researchers will work on ambitious projects that focus on efficient training algorithms and models with fast inference capabilities. The position emphasizes collaboration with world-class engineers and researchers, as well as opportunities to publish findings in high-quality scientific venues. Candidates will also engage in rigorous experimentation and contribute to the development of high-quality code.

• Demonstrated expertise in machine learning research.
• Publication record in relevant conferences such as NeurIPS, ICML, and CVPR.
• Strong hands-on experience working with Python and deep learning toolkits like PyTorch.
• Strong mathematical skills in linear algebra and statistics.
• PhD or equivalent practical experience in Computer Science or a related technical field.
• Ability to formulate a research problem and design, experiment, implement, and communicate solutions.
• Ability to work in a diverse, collaborative environment.
• High-quality open-source contributions to related projects.
• Strong presentation skills for internal and external communications.

• Define and pursue a research agenda focused on fundamental problems in machine learning.
• Advance understanding of efficient training algorithms and models with multi-modal, multi-task, and reasoning capabilities.
• Conduct rigorous experimentation and collaborate closely with colleagues.
• Develop high-quality code and provide technical mentorship.
• Prepare publications and presentations for top-tier venues.
• Collaborate with broader teams across Apple.

• 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.