Machine Learning FEA Engineer

Job Summary: Apple is committed to pushing the boundaries of innovation and engineering excellence in product designs through machine learning and FEA simulations. As a core member of the product design team, you will be responsible for developing and implementing ground-breaking machine learning methods that drive rapid design iterations and optimize design trade-offs for future products. Responsibilities: • Develop and implement ground-breaking machine learning methods based on predictive finite element simulations and important design load cases. • Drive rapid design iterations by assessing potential risks and optimizing design trade-offs. • Fully integrate with the product design team from the earliest stages to engineer ground breaking products. Qualifications: Required: • 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 Preferred: • 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 Company: Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software. Founded in 1976, the company is headquartered in Cupertino, USA, with a team of 10001+ employees. The company is currently Late Stage.

Created: 2026-03-05