1 day ago
Culver City, CA, USAMid Level
H1B sponsor
Responsibilities
- Develop and implement machine learning methods based on predictive finite element simulations and important design load cases.
- Develop models that assess potential design risks and optimize design trade-offs.
- Implement and optimize machine learning models for large-scale datasets on scalable ML platforms.
- Work as an integrated member of the product design FEA team from the earliest stages of product development.
- Collaborate cross-functionally with product design and engineering teams.
Requirements
- Strong expertise in machine learning, deep learning, and optimization.
- Knowledge of finite element analysis or other numerical methods in computational physics and mechanics.
- Proficiency in Python and relevant machine learning packages.
- Master’s degree in Computer Science, Machine Learning, Mechanical Engineering, or a similar discipline.
- At least 3 years of relevant experience.
- Preferred expertise in graph neural networks, convolutional neural networks, and transformer-based architectures.
- Preferred ability to work independently in ambiguous environments and collaborate effectively across functions.
- Ph.D. in Computer Science, Machine Learning, Mechanical Engineering, or a similar discipline is preferred.
- Publications in top journals or conferences are preferred.
- Strong written and verbal communication skills and the ability to work in a fast-paced environment.
Tech Stack
Categories
About Apple
Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.