5 days ago
Cupertino, CA, USA or San Diego, CA, USAMid Level
H1B sponsor
Responsibilities
- Develop novel machine learning algorithms for battery systems.
- Create control strategies using control theory and optimization techniques.
- Implement algorithms on-device to improve battery-system utility and intelligence.
- Develop mathematical models for nonlinear dynamical systems.
- Implement model predictive control and real-time optimization.
- Apply physics-informed neural networks or hybrid physics/ML approaches.
Requirements
- Experience with machine learning, including RNNs, LSTMs, and Transformers.
- Experience with control theory and optimization, including MPC, Kalman filters, and convex or nonconvex optimization.
- Experience with MATLAB and Simulink.
- Preferred: PhD and 3+ years of relevant industry experience.
- Preferred: experience with mathematical modeling for nonlinear dynamical systems.
- Preferred: experience with C/C++ for embedded systems and Python with PyTorch or TensorFlow.
- Preferred: experience with physics-informed neural networks or hybrid physics/ML approaches.
- Preferred: experience with MPC implementation and real-time optimization.
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.