Apple

Apple

Posted via Apple Careers

Machine Learning FEA Engineer

Always Hiring

Posted Aug 4, 2026

Role at a glance

Salary
$142.3K – $263.3K/yr
Location
San Francisco Bay Area, California, United States Culver City, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
3+ years of relevant experience
Education
M.S. in Computer Science, Machine Learning, Mechanical Engineering, or a similar discipline

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Role Summary

AI-generated

This role is part of Apple’s Product Design FEA team and focuses on developing machine learning methods based on predictive finite element simulations and design load cases. The models support rapid design iterations by assessing potential risks and optimizing design trade-offs for future Apple products.

What You'll Do

  • Develop machine learning methods based on predictive finite element simulations and important design load cases.
  • Implement machine learning models for product design applications.
  • Assess potential design risks using machine learning models.
  • Optimize design trade-offs to support rapid design iterations.
  • Work with the product design team from the earliest stages of product development.

Generated from the employer's posting. Verify important details before applying.

View full posting

Qualifications

Strong expertise in machine learning, deep learning, optimization, finite element analysis or other numerical methods in computational physics and mechanics, Python and relevant ML packages, communication, and product development.

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
  • M.S. in Computer Science, Machine Learning, Mechanical Engineering, or a similar discipline
  • 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
  • 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

Original job description

Content provided by the employer

Summary

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 — Culver City, California, United States

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 $142,300 and $263,300, 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.

Application Deadline

Apple accepts applications to this posting on an ongoing basis.

Pay & Benefits — San Francisco Bay Area, California, United States

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

About the company

Apple

Large Enterprise

Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.