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!

Description

As 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 Qualifications

Strong expertise in GNNs, CNNs, and transformer-based architectures

Implement and optimize these models for large-scale datasets on scalable ML platforms

Ability to work independently in white space and deal with an incredible fast-paced environment

Excellent cross-functional collaboration and written and verbal communication skills

Ph.D. in Computer Science, Machine Learning, Mechanical Engineering, or a similar discipline

Publications in top journals or conferences

Minimum Qualifications

Strong Expertise in Machine Learning, Deep Learning, and Optimization

Knowledges of Finite Element Analysis and/or other numerical methods in computational physics and mechanics

Proficiency in Python and relevant packages for ML

Outstanding communication skills

Passion for creating innovative, high-quality products

Desire to work in a fast-paced environment with passion for creating cutting edge products

M.S. in Computer Science, Machine Learning, Mechanical Engineering, or a similar discipline along with 3+ years of relevant experience

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .