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 integrating machine learning models to optimize design trade-offs and assess potential risks. You will work closely with the product design team from the initial stages of product development. This is an opportunity to impact the success of future Apple products significantly.

• Strong expertise in Machine Learning, Deep Learning, and Optimization.
• Knowledge of Finite Element Analysis and/or other numerical methods in computational physics and mechanics.
• Proficiency in Python and relevant packages for machine learning.
• Ph.D. in Computer Science, Machine Learning, Mechanical Engineering, or a similar discipline.
• Strong expertise in GNNs, CNNs, and transformer-based architectures.
• Publications in top journals or conferences.

• Develop and implement ground-breaking machine learning methods based on predictive finite element simulations.
• Drive rapid design iterations by assessing potential risks and optimizing design trade-offs.
• Collaborate with the product design team from the earliest stages of product development.
• Implement and optimize machine learning models for large-scale datasets on scalable ML platforms.
• Work independently in a fast-paced environment.

• 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.