1 day ago
Responsibilities
- Develop novel machine learning algorithms for battery systems.
- Design control strategies using control theory, optimization, MPC, and Kalman filters.
- Implement algorithms on-device and in embedded systems.
- Develop mathematical models for nonlinear dynamical systems.
- Implement MPC and real-time optimization strategies.
- Improve the utility and intelligence of battery systems.
Requirements
- Experience with machine learning methods 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.
- Experience with C/C++ for embedded systems.
- Experience with Python and machine learning frameworks including PyTorch and TensorFlow.
- Preferred: PhD and 10+ years of relevant industry experience.
- Preferred: experience modeling nonlinear dynamical systems.
- Preferred: experience with physics-informed neural networks or hybrid physics/ML approaches.
- Preferred: experience implementing MPC 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.