This role is part of the Product Design FEA team, focusing on developing innovative machine learning technologies to enhance product designs through predictive finite element simulations. The position involves working closely with the product design team to drive rapid design iterations and optimize design trade-offs. The successful candidate will contribute to the development of new products such as iPhone, iPad, and Apple Watch. A passion for creating high-quality, cutting-edge products in a fast-paced environment is essential.

• M.S. or Ph.D. in Computer Science, Machine Learning, Mechanical Engineering, or a similar discipline.
• 3+ years of relevant experience in machine learning, deep learning, and optimization.
• Strong expertise in GNNs, CNNs, and transformer-based architectures.
• Proficiency in Python and relevant packages for machine learning.
• Knowledge of Finite Element Analysis and/or other numerical methods in computational physics and mechanics.
• Outstanding communication skills and ability to collaborate cross-functionally.
• Publications in top journals or conferences are a plus.

• Develop and implement ground-breaking machine learning methods based on predictive finite element simulations.
• Assess potential risks and optimize design trade-offs using machine learning models.
• Drive rapid design iterations in collaboration with the product design team.
• Work independently in a fast-paced environment to create innovative products.
• Integrate machine learning technologies from the earliest stages of product design.

• 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.