Battery Machine Learning Algorithm Engineer at Apple

Job description

We are looking for an engineer who will develop novel machine learning algorithms, control strategies, and on-device implementations to improve the utility and intelligence of battery systems. Experience in machine learning (RNNs, LSTMs, Transformers), control theory and optimization (MPC, Kalman filters, convex/nonconvex optimization) Experience in MATLAB/Simulink Experience in C/C++ for embedded systems and Python & ML frameworks (PyTorch, TensorFlow) PhD and 10+ years relevant industry experience Mathematical modeling experience for nonlinear dynamical systems Experience with physics-informed neural networks or hybrid physics/ML approaches Experience with MPC implementation and real-time optimization

Requirements

Must-haves

We are looking for an engineer who will develop novel machine learning algorithms, control strategies, and on-device implementations to improve the utility and intelligence of battery systems.
Experience in machine learning (RNNs, LSTMs, Transformers), control theory and optimization (MPC, Kalman filters, convex/nonconvex optimization)
Experience in MATLAB/Simulink
Experience in C/C++ for embedded systems and Python & ML frameworks (PyTorch, TensorFlow)
PhD and 10+ years relevant industry experience
Mathematical modeling experience for nonlinear dynamical systems
Experience with physics-informed neural networks or hybrid physics/ML approaches
Experience with MPC implementation and real-time optimization

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningpythonml

Platform: apple
Effort: medium