This role is part of the Product Design FEA team, focusing on developing innovative machine learning technologies that enhance product designs through predictive finite element simulations. The position involves integrating machine learning models to drive rapid design iterations and optimize design trade-offs. You will work closely with the product design team from the earliest 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
• M.S. in Computer Science, Machine Learning, Mechanical Engineering, or a similar discipline along with 3+ years of relevant experience
• Strong expertise in GNNs, CNNs, and transformer-based architectures
• Ph.D. in Computer Science, Machine Learning, Mechanical Engineering, or a similar discipline is preferred
• 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 through the application of machine learning techniques
• Collaborate with the product design team throughout the product development process
• Work independently in a fast-paced environment to create innovative, high-quality products

• 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.