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Apple

Battery Machine Learning Algorithm Engineer

Apple Cupertino, California, United States

Computers and Electronics Manufacturing · 10,001+ employees

7 h ago
machine-learning Mid (2-5 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 these solutions on-device to improve overall battery utility and performance.

What they look for

Machine Learning RNNs LSTMs Transformers Control Theory Optimization MPC Kalman Filters MATLAB Simulink Mathematical Modeling C++ Python PyTorch TensorFlow Embedded Systems

Requirements

Requires experience in machine learning, control theory, and MATLAB/Simulink. A PhD and industry experience in embedded systems and physics-informed neural networks 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

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

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