FIND_THE_RIGHTJOB.
Machine Learning FEA Engineer
Los Angeles, United States
Summary
Posted: Aug 27, 2025
Weekly Hours: 40
Role Number:200618014-2605
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.
- 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 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.
Pay & Benefits
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 $139,500 and $210,100, 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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.
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.
Similar jobs
Lead Control Systems Engineer - Role located in Montgomery, AL
Thermo Systems LLC
Los Angeles, United States
2 days ago
Control Systems Project Engineer 1
Thermo Systems LLC
Los Angeles, United States
2 days ago
Applied Scientist II, Prime Video - Personalization and Discovery Science, Personalization and Discovery Science
Amazon.com
Seattle, United States
2 days ago
Applied Scientist II, Prime Video - Personalization and Discovery Science
Amazon.com
New York, United States
2 days ago
Applied Scientist - Alexa+, Alexa Audio
Amazon.com
Bellevue, United States
2 days ago
Tech Prof-Mechanical, Sr
Halliburton
Houston, United States
10 days ago
Manufacturing Design Engineer (MDE) - iPad
Apple
Cupertino, United States
10 days ago
© 2025 Qureos. All rights reserved.