Machine Learning FEA Engineer

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$150,400–$277,600 / yr
Posted
4 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $216k
This role $214k
$135k $293k
below market most similar roles pay here above market

This role pays more than 62% of similar roles. Most pay $185,231–$246,150 — the blue band above. At the midpoint, this role pays about $214k versus about $216k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · Machine Learning FEA Engineer

As a Machine Learning FEA Engineer within the Product Design FEA team, you will develop and implement groundbreaking machine learning methods based on predictive finite element simulations and important design load cases. Your daily work involves creating models that drive rapid design iterations by assessing potential risks and optimizing design trade-offs for products like the iPhone, iPad, Mac, and Apple Watch. You will utilize Python and relevant machine learning packages to build models, specifically leveraging expertise in deep learning, optimization, and numerical methods in computational physics and mechanics. The role requires proficiency with GNNs, CNNs, and transformer-based architectures to handle large-scale datasets on scalable ML platforms. You will solve complex engineering problems by integrating predictive simulation into the earliest stages of the product design process.

What you'll do

  • Develop and implement machine learning methods based on predictive finite element simulations.
  • Use machine learning models to assess potential risks and optimize design trade-offs.
  • Drive rapid design iterations for new products like iPhone, iPad, and Mac.
  • Integrate with the product design team from the earliest stages of engineering.
  • Implement and optimize GNNs, CNNs, and transformer-based architectures for large-scale datasets.
  • Deploy models on scalable machine learning platforms.
  • Apply numerical methods in computational physics and mechanics to product designs.

What we're looking for

  • M.S. in Computer Science, Machine Learning, Mechanical Engineering, or a similar discipline.
  • 3+ years of relevant experience.
  • Strong expertise in Machine Learning, Deep Learning, and Optimization.
  • Knowledge of Finite Element Analysis and other numerical methods in computational physics and mechanics.
  • Proficiency in Python and relevant packages for ML.
  • Outstanding communication skills and a passion for creating innovative, high-quality products.
  • Ph.D. in Computer Science, Machine Learning, Mechanical Engineering, or a similar discipline (preferred).
  • Publications in top journals or conferences (preferred).

More like this

Similar roles

Machine Learning FEA Engineer

Apple Inc

San Francisco, CA 21 days ago $142,300–$263,300
Machine Learning Deep Learning Finite Element Analysis Python GNNs CNNs Optimization Numerical Methods Computational Physics Scalable ML Platforms
3+ yrs exp

Machine Learning FEA Engineer

Apple Inc

Culver City, CA 21 days ago $142,300–$263,300
Machine Learning Deep Learning Finite Element Analysis Python GNNs CNNs Optimization Numerical Methods Computational Physics Scalable ML Platforms
3+ yrs exp

FEA/AI Methods Engineer

Apple Inc

Cupertino, CA 4 days ago $150,400–$277,600
Python Machine Learning (ML) ANSA META Abaqus Git HPC Batch Job Orchestration Solid Mechanics Scripting
3+ yrs exp

Machine Learning Engineer

Apple Inc

Pittsburgh, PA 81 days ago
Python PyTorch JAX TensorFlow Swift C++ Go Objective-C LLM Multimodal Foundation Models ML Training Pipelines On-device ML Model Optimization Inference Infrastructure
3+ yrs exp

Machine Learning Engineer

Apple Inc

Pittsburgh, PA 77 days ago
Python PyTorch JAX TensorFlow Swift C++ Go Objective-C LLM Multimodal Foundation Models ML Training Pipelines Inference Infrastructure On-device ML Model Optimization Dataset Curation Sensing Systems
3+ yrs exp

Machine Learning Engineer

Q2

Austin, TX 74 days ago
Python R Java TensorFlow PyTorch scikit-learn Machine Learning AI Statistics Probability Theory Optimization
5+ yrs exp