Battery Machine Learning Algorithm Engineer

Role Number: 200690516-0836

Summary

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.

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.

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

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.