Machine Learning Engineer

Responsibilities

• Design and implement novel machine learning and deep learning models tailored to internal research needs
• Prototype and evaluate state-of-the-art algorithms, including Transformers, LLMs, and hybrid model architectures
• Conduct rigorous experimentation, benchmarking, and ablation studies
• Collaborate with battery scientists and domain experts to incorporate physical constraints and scientific priors into modeling
• Contribute to internal documentation and present research outcomes to technical and leadership teams
• Track and integrate advances from the ML research community to ensure technical excellence

Requirements

• Ph.D. (preferred) or M.S. in Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or a closely related field
• Demonstrated expertise in model development, optimization, and algorithmic innovation
• Proficiency in Python and ML libraries/frameworks such as PyTorch and TensorFlow
• Solid understanding of learning theory concepts such as regularization, generalization, loss functions, and evaluation metrics
• Excellent communication, collaboration, and problem-solving skills in interdisciplinary environments

Preferred Qualifications

• Experience working with scientific or time-series datasets, especially in battery, materials, or energy domains
• Publication record in top-tier ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR)

About the Company

Gotion Inc. is based in Silicon Valley, CA, with a manufacturing facility in Manteno, IL and R&D centers in Ohio, China, Japan, and Europe. The company innovates in next-generation electric vehicle and energy storage technologies, including lithium batteries and related systems, with the aim to accelerate electrified transportation and achieve sustainable development.