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Battery Machine Learning Jobs (NOW HIRING)

Gotion Inc.

Machine Learning Engineer

Manteno, IL · On-site

They are seeking a highly motivated Machine Learning Engineer to design and implement machine learning models for advanced battery products, collaborating with cross-disciplinary teams to address ...

Gotion Inc.

Machine Learning Engineer

Fremont, CA · On-site

They are seeking a highly motivated Machine Learning Engineer to design and implement machine learning models for advanced battery products, collaborating with cross-disciplinary teams to address ...

Gotion, Inc.

Machine Learning Engineer

Manteno, IL · On-site

Collaborate with battery scientists and domain experts to incorporate physical constraints or ... D. (preferred) or M.S. in Machine Learning, Computer Science, Electrical Engineering, Applied ...

Gotion, Inc.

Machine Learning Engineer

Fremont, CA

Collaborate with battery scientists and domain experts to incorporate physical constraints or ... D. (preferred) or M.S. in Machine Learning, Computer Science, Electrical Engineering, Applied ...

Gotion Inc.

Machine Learning Engineer

Manteno, IL · On-site

They are seeking a highly motivated Machine Learning Engineer to design and develop innovative ML models for advanced battery products and collaborate with R&D teams to tackle real-world challenges.

Gotion, Inc.

Machine Learning Engineer

Fremont, CA · On-site

Gotion is powered by a leading power battery technology company that provides solutions for ... Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background ...

Gotion, Inc.

Machine Learning Engineer

Manteno, IL · On-site

Gotion is powered by a leading power battery technology company that provides solutions for ... Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background ...

A123 Systems Corp.

Battery Modeling Engineer

Novi, MI · On-site

Develop data-driven AI machine learning models to optimize the design of battery cell manufacturing process considering the cell quality control and capital costs. * Support NBO and regular life ...

A123 Systems LLC

Battery Modeling Engineer

Novi, MI · Hybrid

Develop data-driven AI machine learning models to optimize the design of battery cell manufacturing process considering the cell quality control and capital costs. * Support NBO and regular life ...

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Battery Machine Learning information

What are the key skills and qualifications needed to thrive as a Battery Machine Learning Engineer, and why are they important?

To thrive as a Battery Machine Learning Engineer, you need a strong background in machine learning, data analysis, and battery science, typically supported by a degree in engineering, computer science, or a related field. Familiarity with Python, TensorFlow or PyTorch, data processing tools, and battery management system (BMS) software is highly valued. Strong problem-solving skills, collaboration, and effective communication set standout professionals apart in this role. These skills are essential to develop accurate predictive models that optimize battery performance and longevity, driving innovation in energy storage technologies.

What are some common challenges faced by professionals working in Battery Machine Learning roles?

Professionals in Battery Machine Learning often encounter challenges related to limited or noisy datasets, as battery performance data can be expensive and time-consuming to collect. Additionally, integrating domain knowledge from electrochemistry with advanced machine learning techniques requires strong interdisciplinary collaboration. Staying up-to-date with both the latest AI methods and battery technology advancements is essential but can be demanding. Collaborating closely with researchers, engineers, and data scientists is a key aspect of the role, as projects frequently depend on cross-functional teamwork to translate predictive insights into practical battery innovations.

What is battery machine learning and what do professionals in this field do?

Battery machine learning involves the application of machine learning algorithms to analyze, predict, and optimize the performance, lifespan, and safety of batteries. Professionals in this field work on developing data-driven models to forecast battery degradation, enhance energy management systems, and improve battery design. Their work is crucial in sectors such as electric vehicles, renewable energy storage, and consumer electronics, where battery efficiency and reliability are key. By leveraging large datasets from battery usage and testing, they help accelerate innovation and reduce costs in battery technology.
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Battery Machine Learning jobs near you
Infographic showing various Battery Machine Learning job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Machine Learning Engineer

Machine Learning Engineer

Gotion Inc.

Manteno, IL • On-site

Full-time

Posted 21 days ago

Job description

Job Summary:
Gotion Inc. is based in Silicon Valley, CA, and is focused on building innovative solutions in electric vehicle and energy storage technologies. They are seeking a highly motivated Machine Learning Engineer to design and implement machine learning models for advanced battery products, collaborating with cross-disciplinary teams to address real-world challenges.
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
Qualifications:
Required:
• 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.
• Solid understanding of learning theory concepts such as regularization, generalization, loss functions, and evaluation metrics
• Experience working with scientific or time-series datasets, especially in battery, materials, or energy domains, is highly desirable
• A publication record in top-tier ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR) is a strong plus
• Excellent communication, collaboration, and problem-solving skills in interdisciplinary environments
Company:
Gotion, Inc. is based in Silicon Valley in California, with R&D centers in Ohio, China, Japan, Singapore and Europe. Founded in 2014, the company is headquartered in Fremont, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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