Machine Learning FEA Engineer

Apple Inc.; San Francisco (CA); Vor Ort; USD 150.000 - 278.000; Vollzeit

Benefits dieser Stelle

Medical and dental coverage

Employee stock programs

Retirement benefits

Tuition reimbursement

Relocation assistance

Zusammenfassung

Apple Inc. is seeking a talented engineer in the San Francisco Bay Area to develop innovative machine learning methods for predictive finite element simulations.

You will drive design iterations, assess risks, and optimize trade-offs to accelerate next-generation devices such as iPhone, iPad, Mac, and Apple Vision Pro. The role integrates with the Product Design FEA team from the earliest stages, requiring strong ML, FEA, and Python skills along with the ability to thrive in a fast-paced

Qualifikationen

• MS with 3+ years of relevant experience in ML or ML for engineering.
• PhD preferred for advanced research and publications.
• Strong foundation in numerical methods and ML tooling.

Aufgaben

• Develop ML methods based on predictive finite element simulations.
• Assess design load cases and optimize trade-offs with ML models.
• Collaborate with the product design team from concept to execution.

Kenntnisse

Machine Learning

Deep Learning

Optimization

Finite Element Analysis

Python

3+ years experience

Communication skills

Ausbildung

MS in Computer Science / Machine Learning / Mechanical Engineering

PhD in related field (preferred)

Tools

ML frameworks (e.g., PyTorch/TensorFlow)

Python ML packages

Jobbeschreibung

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

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.

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