About this role
Envision what you could do here. At Apple, we believe new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.
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.
Minimum Qualifications
Experience in machine learning (RNNs, LSTMs, Transformers), control theory and optimization (MPC, Kalman filters, convex/nonconvex optimization)
Experience in MATLAB/Simulink
Preferred Qualifications
PhD and 3+ years relevant industry experience
Mathematical modeling experience for nonlinear dynamical systems
Experience in C/C++ for embedded systems and Python & ML frameworks (PyTorch, TensorFlow)
Experience with physics-informed neural networks or hybrid physics/ML approaches
Experience with MPC implementation and real-time optimization