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/Physical Domain)
Builds
Innovative ML models for next-generation electric vehicle and energy storage technologies
Domain
Battery technology, electrochemical systems, energy storage
Deliverable
production ML models
Required skills
Model architecture design, algorithm development, Python, PyTorch, TensorFlow, learning theory, scientific dataset handling
Preferred skills
Battery/materials/energy domain experience, publication record in top-tier ML conferences, Transformer/LLM/hybrid model expertise
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; track ML research advances
Seniority
Mid-Senior, hands-on IC (via careerplan.io/jobs/8282400002-machine-learning-engineer-at-gotion)
