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Apple

Battery Machine Learning Algorithm Engineer

Apple Cupertino, California, United States

Computers and Electronics Manufacturing · 10,001+ employees

2 h ago
machine-learning Principal (10+ yrs) Full-time United States
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About the role

Develop novel machine learning algorithms and control strategies to enhance battery system intelligence. Implement on-device solutions to improve the overall utility and performance of battery systems.

What they look for

Machine Learning RNNs LSTMs Transformers Control Theory Optimization MPC Kalman Filters MATLAB Simulink C++ Python PyTorch TensorFlow Mathematical Modeling Physics-informed Neural Networks

Requirements

Requires experience in machine learning frameworks, control theory, and embedded systems programming. A PhD and over 10 years of relevant industry experience are preferred.

Full description

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 Experience in C/C++ for embedded systems and Python & ML frameworks (PyTorch, TensorFlow)

Preferred Qualifications

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

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