Battery Machine Learning Algorithm Engineer
Core
Develop novel machine learning algorithms and control strategies for battery systems, implementing them on-device for real-time optimization of nonlinear dynamical systems.
Role type
Machine Learning Algorithm Engineer (Battery Systems)
Builds
On-device control strategies and optimization algorithms for battery management systems
Domain
Energy Storage / Battery Systems / Control Theory
Deliverable
production ML models
Required skills
Machine learning (RNNs, LSTMs, Transformers), Control theory (MPC, Kalman filters), Optimization (convex/nonconvex), MATLAB, Simulink
Preferred skills
Nonlinear dynamical-system modeling, Embedded C/C++, Python, PyTorch, TensorFlow, Physics-informed neural networks, Real-time optimization
