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Battery Machine Learning Jobs in Colorado (NOW HIRING)

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High Reach Operator 2nd Shift

Greeley, CO · On-site

$19.18 - $32.40/hr

Monitor battery charge, maintain, and clean batteries, and leave material handling equipment at the ... Work with other machinery and material handling equipment MINIMUM REQUIREMENTS (KNOWLEDGE, SKILLS ...

Interstate Batteries

Warehouse Team Member I

Denver, CO · On-site

$15 - $22/hr

Accountable for individual accuracy and commitment to learning from mistakes * Operates with ... Exposed to battery warehouse conditions, such as exposure to moving equipment, mechanical parts ...

US Navy

ADEK

Breckenridge, CO

... learning, college network opportunities, and leadership development focused on technical skill ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

US Navy

ADEK

Dotsero, CO

... learning, college network opportunities, and leadership development focused on technical skill ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

US Navy

ADEK

Dolores, CO

... learning, college network opportunities, and leadership development focused on technical skill ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

US Navy

ADEK

Sterling, CO

... learning, college network opportunities, and leadership development focused on technical skill ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

US Navy

ADEK

Brush, CO

... learning, college network opportunities, and leadership development focused on technical skill ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

US Navy

ADEK

Boulder, CO

... learning, college network opportunities, and leadership development focused on technical skill ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

US Navy

ADEK

Alamosa, CO

... learning, college network opportunities, and leadership development focused on technical skill ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

US Navy

ADEK

Sanford, CO

... learning, college network opportunities, and leadership development focused on technical skill ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

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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.
What are popular job titles related to Battery Machine Learning jobs in Colorado? For Battery Machine Learning jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Battery Machine Learning jobs in Colorado look for? The top searched job categories for Battery Machine Learning jobs in Colorado are:
Battery Machine Learning jobs near you
Computational Materials Scientist

Computational Materials Scientist

University of Colorado Boulder

Boulder, CO

$60K - $70K/yr

Other

Medical, Dental, Retirement, PTO

Posted 7 days ago

University Of Colorado Boulder rating

8.0

Company rating: 8.0 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

146th of 529 rated colleges and universities

Job description

Requisition Number:

72186

Location:

Boulder, Colorado

City

Boulder

State

Colorado

Employment Type:

Research Faculty

Schedule:

Full-Time

Posting Close Date:

29-May-2026

Date Posted:

21-May-2026
Close All
Job Summary

Professor Samuel Greene is seeking a Postdoctoral Associate to perform atomic-scale physics-based simulations of materials for energy storage and conversion. This role will involve combining physics-based simulations with data-driven methods, including machine learning, to design new battery electrolyte materials.

CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.
Who We Are

The Greene Group is an interdisciplinary computational materials science group in the Paul M. Rady Department of Mechanical Engineering at CU Boulder. We leverage tools from computational chemistry, materials science, machine learning, and applied math to address pressing challenges related to next-generation materials. Prof. Greene is committed to creating a supportive and inclusive environment in which all lab members can grow and flourish. Please visit greenematerials.com for more information.

What Your Key Responsibilities Will Be
  • Develop a research plan related to next-generation materials for energy storage and conversion
  • Perform computational research
  • Contribute to a collaborative and supportive lab environment
  • Present research findings in group meetings, in peer-reviewed publications, and/or at conferences
What We Can Offer

The salary range for this position is $60,000 - $70,000 annually.

Benefits

At the University of Colorado Boulder, we are committed to supporting the holistic health and well-being of our employees. Our comprehensive benefits package includes medical, dental, and retirement plans; generous paid time off; tuition assistance for you and your dependents; and an ECO Pass for local transit. As one of Boulder County's largest employers, CU Boulder offers an inspiring academic community and access to world-class outdoor recreation. Explore additional perks and programs through the CU Advantage program.

Be Statements
Be curious. Be game-changing. Be Boulder.
What We Require
  • PhD in Mechanical Engineering, Chemical Engineering, Materials Science, or a related field
What You Will Need
  • Experience with atomic-scale simulation methods, including density functional theory, Monte Carlo, molecular dynamics, or machine learning interatomic potentials
  • Experience with Unix systems and high-performance computing resources
Special Instructions

To apply, please submit the following materials as individual files:

  1. Cover Letter.
  2. Resume/CV.
  3. (Optional) Transcripts/Proof of PhD: If you are selected as the finalist, your degree will be verified by the CU Boulder Campus Human Resources department using an approved online vendor. If your degree was obtained outside of the United States, please submit an English-translated version (if applicable) as an Optional attachment.

During the application, process you will be asked to provide the name and email address for one reference, from whom we will request a confidential letter of recommendation immediately following the submission of your complete application.

For full consideration, please apply by May 29, 2026.

Note: Application materials will not be accepted via email. For consideration, applications must be submitted through CU Boulder Jobs.


In compliance with the Colorado Job Application Fairness Act, in any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

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