Battery Machine Learning Algorithm Engineer
Full-time
Apple
Responsibilities
- Develop novel machine learning algorithms for battery systems.
- Create control strategies using control theory, model predictive control, Kalman filters, and optimization.
- Implement algorithms on-device for battery systems.
- Apply mathematical modeling to nonlinear dynamical systems and real-time optimization.
Requirements
- Experience with machine learning methods including RNNs, LSTMs, and Transformers.
- Experience with control theory and optimization, including MPC, Kalman filters, and convex or nonconvex optimization.
- Experience with MATLAB and Simulink.
- Preferred: PhD and 3+ years of relevant industry experience.
- Preferred: experience with nonlinear dynamical-system modeling, embedded C/C++, Python, PyTorch, TensorFlow, physics-informed neural networks, hybrid physics/ML approaches, MPC implementation, and real-time optimization.
Vacancy posted 4 days ago
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