ML FEA Engineer: Predictive Simulations for Devices

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

Benefits offered by this job

Comprehensive medical and dental

Employee stock purchase plan

Tuition reimbursement

Job summary

Apple Inc. in Cupertino, CA seeks a core member of the Product Design FEA team to develop machine learning methods based on predictive simulations. You will shape design loads and assess risks to accelerate iterations of iPhone, iPad, Mac, Apple Watch, Vision Pro, and future products.

The role demands strong ML, DL, optimization expertise, and experience with Python ML ecosystems. Collaboration across teams and fast-paced innovation are key.

Qualifications

• Strong expertise in machine learning, deep learning and optimization.
• Knowledge of finite element analysis or numerical methods in computational physics.

Responsibilities

• Develop and implement machine learning methods based on predictive finite element simulations.
• Drive design trade-offs and rapid iterations through ML-driven insights.
• Collaborate with product design team from early stages to shape devices.

Skills

Machine Learning

Deep Learning

Optimization

Python

Communication

Education

MS in Computer Science / ML / Mechanical Engineering

3+ years of relevant experience

PhD in Computer Science / ML / Mechanical Engineering

Tools

PyTorch

TensorFlow

NumPy

Job description

Apple Inc. in Cupertino, CA seeks a core member of the Product Design FEA team to develop machine learning methods based on predictive simulations. You will shape design loads and assess risks to accelerate iterations of iPhone, iPad, Mac, Apple Watch, Vision Pro, and future products.

The role demands strong ML, DL, optimization expertise, and experience with Python ML ecosystems. Collaboration across teams and fast-paced innovation are key.