Machine Learning Engineer
Core
Design and implement novel machine learning and deep learning models for advanced battery products and energy storage systems.
Role type
Machine Learning Engineer (Scientific Domain)
Builds
Innovative ML models for battery technology and electrochemical systems
Domain
Energy storage / Electric vehicles / Battery technology
Deliverable
production ML models
Required skills
Model architecture design, Algorithm development, Python, PyTorch, TensorFlow, Learning theory, Scientific dataset handling
Preferred skills
Battery/energy domain expertise, LLM/Transformer experience, Top-tier ML conference publications
Technologies
PyTorch, TensorFlow, Transformers, LLMs
Responsibilities
Design and implement novel ML/DL models, Prototype and evaluate state-of-the-art algorithms, Conduct rigorous experimentation and benchmarking, Collaborate with scientists to incorporate physical constraints, Present research outcomes to leadership
Seniority
Mid-Senior, hands-on IC
