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Battery Machine Learning Jobs in Lemont, IL (NOW HIRING)

Motorola Solutions, Inc.

Sr. RF Engineer

Schaumburg, IL · On-site

$101K - $202K/yr

... and machine learning, cybersecurity, signals intelligence and more. We can't tell you much more ... Design and optimize circuits for minimal current drain to maximize battery life * Implement analog ...

Motorola

Sr. RF Engineer

Schaumburg, IL · On-site

$101K - $202K/yr

... and machine learning, cybersecurity, signals intelligence and more. We can't tell you much more ... Design and optimize circuits for minimal current drain to maximize battery life * Implement analog ...

Motorola

Senior Electrical Engineer

Schaumburg, IL

$86K - $173K/yr

... and machine learning, cybersecurity, signals intelligence and more. We can't tell you much more ... Design and optimize circuits for minimal current drain consumption to maximize battery life

Lineage Logistics

Cherry Picker- 3rd shift

Chicago, IL · On-site

$20.50/hr

Pick, pull, and move whole pallets of products while operating a Turret machine while following all ... Monitor battery charge, maintain, and clean batteries, and leave material handling equipment at the ...

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Battery Machine Learning information

What is battery machine learning?

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.

What are the key skills and qualifications needed to thrive as a battery machine learning engineer?

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 are popular job titles related to Battery Machine Learning jobs in Lemont, IL?

For Battery Machine Learning jobs in Lemont, IL, the most frequently searched job titles are:

What cities near Lemont, IL are hiring for Battery Machine Learning jobs?

Cities near Lemont, IL with the most Battery Machine Learning job openings:

Battery Machine Learning jobs near you
Infographic showing various Battery Machine Learning job openings in Lemont, IL as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Energy Storage Program Lead: AI and Data Centers

Lemont, IL • On-site

Argonne National Laboratory
Scientific Research and Development Services • 1 - 5K employees
Learn more about Argonne National Laboratoryexternal

$138 - $253.89/hr

Other

Re-posted 24 days ago

Job description

Role Overview

Argonne National Laboratory invites applications for a dynamic leader to help shape the future of energy storage for AI and data center applications. The Energy Storage Program Lead for AI and Data Centers will develop and execute a growth strategy for a multi‑million‑dollar R&D program focused on advancing stationary energy storage solutions. This program will address the rapidly increasing energy demands of data centers, tackle associated grid challenges, and leverage advances in artificial intelligence, machine learning, robotic laboratories, and digital twins to accelerate battery research, manufacturing, and deployment. The Program Lead will serve as a key connector between battery scientists and technologists and AI and data center practitioners, translating real‑world operational needs into high‑impact R&D objectives.

Responsibilities
  • Develop and execute the growth strategy for the stationary energy storage R&D program.
  • Translate operational needs into high‑impact R&D objectives and research priorities.
  • Build and lead a world‑class R&D program that meets the evolving energy demands of data centers and the broader electric grid sector.
  • Cultivate strategic partnerships with battery companies, data center providers, hyperscalers, system integrators, distributed energy resource solution providers, utilities, and government organizations to secure funding and expand program impact.
  • Collaborate with the Stationary Storage Lead and business development team to secure resources and secure funding.
Qualifications
  • Ph.D. in Materials Science, Chemical Engineering, Chemistry, Mechanical Engineering, or a related field.
  • Background in developing battery systems for stationary storage applications, including understanding the role of energy storage on the grid, integration considerations, and economic factors.
  • Knowledge of the growing fields of AI/ML and robotic laboratories.
  • Demonstrated skills in program development, strategic direction, and execution.
  • Experience building and maintaining effective relationships with a diverse set of sponsors, influencing program direction, and pursuing funding opportunities.
  • Strong oral and written communication skills, along with the ability to build productive professional relationships.
  • Experience working with utilities, system integrators, distributed energy resource companies, and related stakeholders.
  • Proven track record of leading R&D teams in developing technology solutions and building research programs, including concept development, securing funding, and delivering outcomes.
  • Ability to learn Argonne’s organizational structure and funding landscape, and Laboratory and DOE policies and procedures.
  • Demonstrated commitment to Argonne’s core values of impact, safety, respect, integrity, and teamwork.
  • Applicable experience: Bachelors and 12+ years; Masters and 7+ years; PhD and 6+ years; or equivalent.
Compensation

Annual salary range: $138,000 – $253,890. Pay will be determined based on qualifications and program responsibilities.

Equal Employment Opportunity

As an equal employment opportunity employer, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. All qualified applicants will be considered for employment without regard to any characteristic protected by law.

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