On-Site ML Engineer — Battery & Energy Systems

Gotion, Inc.; Fremont (CA); On-site; USD 110,000 - 135,000; Full time

Job summary

Gotion Inc. in Silicon Valley is seeking a highly motivated Machine Learning Engineer to lead model architecture design and algorithm development for battery and energy systems.

This fully on-site role is based in Fremont, CA and involves building ML solutions from the ground up in collaboration with cross-disciplinary R&D teams. You will prototype state-of-the-art models, run rigorous experiments, and incorporate physical priors into modeling while contributing to internal documentation and

Qualifications

• Ph.D. (preferred) or MS in Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or a closely related field.
• Demonstrated expertise in model development, optimization, and algorithmic innovation.
• Experience with scientific or time-series datasets in battery, materials, or energy domains is highly desirable.
• Publication record in top ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR) is a strong plus.
• Excellent communication and collaboration skills in interdisciplinary environments.

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 or 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.

Skills

Machine Learning

Model architecture design

Algorithm development

Scientific data analysis

Education

PhD or MS in ML/CS/EE/Applied Math

Publication record in ML conferences (preferred)

Tools

Python

PyTorch

TensorFlow

Job description

Gotion Inc. in Silicon Valley is seeking a highly motivated Machine Learning Engineer to lead model architecture design and algorithm development for battery and energy systems.

This fully on-site role is based in Fremont, CA and involves building ML solutions from the ground up in collaboration with cross-disciplinary R&D teams. You will prototype state-of-the-art models, run rigorous experiments, and incorporate physical priors into modeling while contributing to internal documentation and