ML-Driven FEA Engineer for Next-Gen Hardware Design

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

Benefits offered by this job

Medical and dental coverage

Employee stock programs

Retirement benefits

Tuition reimbursement

Relocation assistance

Job summary

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

Qualifications

• 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.

Responsibilities

• 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.

Skills

Machine Learning

Deep Learning

Optimization

Finite Element Analysis

Python

3+ years experience

Communication skills

Education

MS in Computer Science / Machine Learning / Mechanical Engineering

PhD in related field (preferred)

Tools

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

Python ML packages

Job description

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