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Physics Informed Machine Learning Jobs in Michigan

A123 Systems LLC

Battery Modeling Engineer

Novi, MI · Hybrid

Develop physics-based models to identify aging mechanisms and optimize cell design. * Develop data-driven AI machine learning models to optimize the design of battery cell manufacturing process ...

A123 Systems Corp.

Battery Modeling Engineer

Novi, MI · On-site

Develop physics-based models to identify aging mechanisms and optimize cell design. * Develop data-driven AI machine learning models to optimize the design of battery cell manufacturing process ...

Deloitte

AI Solutions Architect

Detroit, MI

$62.25 - $82.25/hr

Leading sales, solution design, and delivery for artificial intelligence, machine learning ... or Physics, or equivalent experience * 8+ years of experience in product sales, software ...

Ford Motor Company

AI Engineer

Dearborn, MI · On-site +1

$105K - $126K/yr

... machine learning and software engineering, we encourage you to apply. Education: * Bachelor's Degree in Data Science, Predictive Analytics, Statistics, Applied Mathematics, Physics, AI, Computer ...

Ford Motor Company

AI Engineer

Dearborn, MI · On-site

... machine learning and software engineering, we encourage you to apply. Education: * Bachelor's Degree in Data Science, Predictive Analytics, Statistics, Applied Mathematics, Physics, AI, Computer ...

Imh

Medical Physicist PRN

Almont, MI

If you are interested in learning more about this role or about Intermountain Health, click here to ... Medical Physics * Quality Improvement * Excellent interpersonal and communication skills.

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What are the key skills and qualifications needed to thrive in the Physics Informed Machine Learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What are the typical challenges faced by professionals working in Physics Informed Machine Learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.

What is a Physics Informed Machine Learning job?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What are popular job titles related to Physics Informed Machine Learning jobs in Michigan? For Physics Informed Machine Learning jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Physics Informed Machine Learning jobs in Michigan look for? The top searched job categories for Physics Informed Machine Learning jobs in Michigan are:
What cities in Michigan are hiring for Physics Informed Machine Learning jobs? Cities in Michigan with the most Physics Informed Machine Learning job openings:
Physics Informed Machine Learning jobs near you
Infographic showing various Physics Informed Machine Learning job openings in Michigan as of June 2026, with employment types broken down into 1% Locum Tenens, 83% Full Time, 9% Part Time, 5% Contract, and 2% Nights. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution.
Senior Researcher, AI/ML Battery Modeler

Senior Researcher, AI/ML Battery Modeler

General Motors

Warren, MI • On-site

Full-time

Posted 10 days ago

General Motors rating

8.1

Company rating: 8.1 out of 10

Based on 305 frontline employees who took The Breakroom Quiz

5th of 44 rated automakers

Job description

Job Description
Senior Researcher, AI/ML Battery Modeler
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard - from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
Why GM Battery R&D?
At GM, your work won't sit on a shelf - you'll see it power real vehicles on the road. You'll move ideas from theory → model → product, working at the intersection of fundamental science, advanced modeling, and real-world impact. Our Research team offers the opportunity to:
  • Work alongside globally recognized experts across battery materials, modeling, and systems engineering
  • Tackle open-ended, high-impact problems spanning electrochemistry, thermal science, mechanics, data science, and AI
  • Leverage cutting-edge experimental facilities, advanced instrumentation, and high-performance computing
  • Use state-of-the-art AI/ML and scientific modeling tools to generate new insights
  • Be supported to publish and present original research in leading journals and top conferences
  • Collaborate with battery suppliers, tier 1 research universities, national labs, and DOE/NSF-funded programs
  • See your research directly implemented in GM EVs at a global scale
  • Grow across technical, leadership, and research career paths in a deeply technical environment

The Role
As a Senior Researcher, you will shape the future of electric mobility by developing next-generation battery models using advanced AI/ML techniques. You'll build physics-informed, data-driven, and hybrid models - while defining new modeling approaches that push the boundaries of battery science and AI.
What You'll Do
  • Develop and deploy advanced AI/ML models, including physics-informed and hybrid approaches, to predict battery performance, aging, and degradation
  • Build and refine Multiphysics models that couple electrochemical, thermal, and mechanical behavior
  • Identify and develop novel modeling approaches for next-generation battery chemistries and systems
  • Turn complex experimental and simulation datasets into actionable insights using Python-based scientific computing and ML frameworks
  • Partner with engineering teams to translate research into production, integrating models into battery management systems (BMS) and product workflows
  • Publish and present your work through peer-reviewed journals, conferences, and technical forums
  • Drive technical direction through deep problem solving, collaboration, and influence across disciplines
  • Contribute to intellectual property and patents for new algorithms and modeling innovations

Your Skills & Abilities (Required Qualifications)
  • Master's or Ph.D. in Electrical Engineering, Physics, Computer Science, Materials Science, Chemical Engineering, or related field with a focus on AI/ML
  • Proven experience developing AI/ML models, ideally applied to batteries, electrochemical systems, or Multiphysics domains
  • Strong Python proficiency (required) with experience in ML/scientific libraries (e.g., PyTorch, TensorFlow, NumPy, SciPy)
  • Strong analytical skills with the ability to extract insight from complex datasets
  • Demonstrated research experience (e.g., publications, technical reports, or conference presentations)
  • Ability to clearly communicate complex technical concepts to diverse audiences
  • Strong collaboration and problem-solving skills, with the ability to influence across teams
  • Commitment to continuous learning and advancing the state of the art in AI/ML and battery technology

What will give you a competitive edge (Preferred Qualifications)
  • Experience with physics-informed or hybrid modeling approaches
  • Background in battery degradation, aging, or lifetime modeling
  • Familiarity with battery management systems (BMS) or system-level integration
  • Experience with large-scale datasets or high-performance computing environments
  • Contributions to patents, intellectual property, or external research collaborations
  • Experimental experience with measurements of battery material/electrochemical properties
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).This role is categorized as onsite. This means the selected candidate is expected to report to a specific location on a full-time basis.This job may be eligible for relocation benefits.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908

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