Machine Learning FEA Engineer

Apple Inc.; San Francisco (CA); On-site; USD 150,400 - 277,600; Full time

Job summary

Apple Inc. in the San Francisco Bay Area is seeking a skilled ML engineer to shape next-generation product designs. You will develop and implement machine learning methods grounded in predictive finite element simulations, addressing critical design load cases and enabling rapid design iterations.

As a core member of the Product Design FEA team, you’ll collaborate across engineering domains to push the boundaries of innovation for iPhone, iPad, Mac, Apple Watch, Vision Pro and beyond.

Qualifications

• Master of Science or higher in CS/ML/ME or related field with 3+ years of relevant experience
• PhD strongly preferred for advanced research roles in ML/FEA
• Proficiency in Python and ML libraries
• Experience applying ML/DL/optimization to engineering design

Responsibilities

• Develop and implement ML methods based on predictive finite element simulations
• Drive rapid design iterations by assessing risks and optimizing trade-offs
• Collaborate with product design team to integrate ML solutions into hardware product designs

Skills

Machine Learning

Deep Learning

Optimization

Python

Finite Element Analysis

Computational Physics

Education

M.S. in Computer Science / ML / Mechanical Engineering

Ph.D. in Computer Science / ML / Mechanical Engineering

Job description

San Francisco Bay Area, 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

Compensation and Benefits

Base pay is determined within a range and reflects skills, qualifications, experience, and location. The base pay range for this role is between $150,400 and $277,600.

Apple employees also have the opportunity to become an Apple shareholder through participation in discretionary employee stock programs. Eligible employees may receive discretionary restricted stock unit awards and can purchase Apple stock at a discount through Apple’s Employee Stock Purchase Plan. Benefits include comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and reimbursement for certain educational expenses, including tuition. This role may 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.

Equal Opportunity and Accessibility

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 and about reasonable accommodations for job applicants.

Apple accepts applications to this posting on an ongoing basis.