Machine Learning FEA Engineer

Imagine what you can do here! We are committed to pushing the boundaries of innovation and engineering excellence in product designs through machine learning and FEA simulations. We truly believe in the power of predictive simulation to make the impossible possible, transform industries and improve people's lives. As a member of the Product Design FEA team, you will play a pivotal role in developing innovative machine learning technologies and directly impact the success of new iPhone, iPad, Mac, Apple Watch, Vision Pro and many more future products. Come join us and put a dent in the universe!

DescriptionAs a core member of the product design team, you will be responsible for developing and implementing ground-breaking machine learning methods that are based on predictive finite element simulations and important design load cases. The machine learning models will drive rapid design iterations by assessing potential risks and optimizing design trade-offs. You will be fully integrated with the product design team from the earliest stages to engineer ground breaking products.

Preferred QualificationsStrong expertise in GNNs, CNNs, and transformer-based architecturesImplement and optimize these models for large-scale datasets on scalable ML platformsAbility to work independently in white space and deal with an incredible fast-paced environmentExcellent cross-functional collaboration and written and verbal communication skillsPh.D. in Computer Science, Machine Learning, Mechanical Engineering, or a similar disciplinePublications in top journals or conferencesMinimum QualificationsStrong Expertise in Machine Learning, Deep Learning, and OptimizationKnowledges of Finite Element Analysis and/or other numerical methods in computational physics and mechanicsProficiency in Python and relevant packages for MLOutstanding communication skillsPassion for creating innovative, high-quality productsDesire to work in a fast-paced environment with passion for creating cutting edge productsM.S. in Computer Science, Machine Learning, Mechanical Engineering, or a similar discipline along with 3+ years of relevant experience\