Machine Learning FEA Engineer

Apple, Inc.; Cupertino (CA); On-site; USD 150,000 - 278,000; Full time

Benefits offered by this job

Comprehensive medical and dental

Employee stock purchase plan

Tuition reimbursement

Job summary

Apple Inc. in Cupertino, CA seeks a core member of the Product Design FEA team to develop machine learning methods based on predictive simulations. You will shape design loads and assess risks to accelerate iterations of iPhone, iPad, Mac, Apple Watch, Vision Pro, and future products.

The role demands strong ML, DL, optimization expertise, and experience with Python ML ecosystems. Collaboration across teams and fast-paced innovation are key.

Qualifications

• Strong expertise in machine learning, deep learning and optimization.
• Knowledge of finite element analysis or numerical methods in computational physics.

Responsibilities

• Develop and implement machine learning methods based on predictive finite element simulations.
• Drive design trade-offs and rapid iterations through ML-driven insights.
• Collaborate with product design team from early stages to shape devices.

Skills

Machine Learning

Deep Learning

Optimization

Python

Communication

Education

MS in Computer Science / ML / Mechanical Engineering

3+ years of relevant experience

PhD in Computer Science / ML / Mechanical Engineering

Tools

PyTorch

TensorFlow

NumPy

Job description

Cupertino, California, United States Hardware

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.

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
• 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 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

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.