Machine Learning Engineer

About the role

Gotion Inc. is based in Silicon Valley, CA, currently building a Manufacturing facility in Manteno, IL and has R&D centers in Ohio, China, Japan and Europe. We innovate in the next generation electric vehicle and energy storage technologies (lithium batteries and related systems) with the aim to accelerate electrified transportation and achieve sustainable development. Gotion is powered by a leading power battery technology company that provides solutions for vehicles including the world's first mass commercial e-bus route.

Gotion is a career destination - we are not simply attempting to just fill another job, but to pursue a dream of global green energy together! We offer outstanding opportunities to individuals seeking an exciting and challenging working environment. Everyone is highly valued and plays a vital role in the growth of our organization.

About The Team The Product Development Team at Gotion Inc., New Energy Inc. focuses on the design and development of advanced battery products for next-generation energy storage system (ESS) and electric vehicle (EV) applications. We lead the full product development cycle, integrating mechanical, electrical, thermal, and control system to create high-performance battery solutions, along with comprehensive system integration, validation, and certification activities.

Role Summary

We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains such as battery technology, energy systems, or related physical sciences. This is a fully on-site role based in Fremont, CA focused on building innovative ML models from the ground up.

You will collaborate closely with cross-disciplinary R&D teams to develop and deploy machine learning solutions that address real-world challenges in advanced materials, electrochemical systems, and high-throughput data environments.

Essential Duties and 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

Required Qualifications:

- 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, TensorFlow, etc.