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Physics Informed Machine Learning Jobs in Detroit, MI

Lead the execution of assigned AI, machine learning, or data science workstreams from methodology ... D. in operations research, engineering, computer science, applied statistics, economics, physics ...

A strong background in image processing, machine learning, and mathematics/physics is required, with familiarity in vehicle dynamics considered a plus. ESSENTIAL JOB FUNCTIONS * Develop (design ...

A strong background in image processing, machine learning, and mathematics/physics is required, with familiarity in vehicle dynamics considered a plus. ESSENTIAL JOB FUNCTIONS * Develop (design ...

... informed decision-making and driving business growth. Within our Technology Consulting practice ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

... Machine Learning Model Development to support business decisions in credit risk analysis. We are ... Physics, Computer Engineering or a related field and 3 years of experience in the job offered or a ...

CTIO AI Engineering Manager

Detroit, MI · On-site

$73K - $244K/yr

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at ...

... informed decision-making and driving business growth. Within our Internal Firm Services practice ... the implementation of machine learning algorithms and predictive modeling techniques ...

AI Solutions Engineering Delivery Lead

Detroit, MI · On-site

$101K - $133K/yr

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at ...

Join our growing global team working at the intersection of physics simulation and artificial ... Understanding of fundamental machine learning concepts, such as data curation, model training, and ...

... various machine learning techniques such as reinforcement learning. * Develop and maintain key ... physics) or equivalent experience * A demonstrated ability to solve complex autonomy problems as a ...

Work with traditional machine learning and deep learning techniques to meet and improve results on ... Speeding up physics models. * Developing software tools and solutions for KLA products. Minimum ...

Showing results 41-60

Physics Informed Machine Learning information

See Detroit, MI salary details

$5

$19

$25

How much do physics informed machine learning jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for physics informed machine learning in Detroit, MI is $19.86, according to ZipRecruiter salary data. Most workers in this role earn between $12.36 and $25.24 per hour, depending on experience, location, and employer.

What is a physics informed machine learning?

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 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 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 popular job titles related to Physics Informed Machine Learning jobs in Detroit, MI?

For Physics Informed Machine Learning jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Physics Informed Machine Learning jobs in Detroit, MI look for?

The top searched job categories for Physics Informed Machine Learning jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Physics Informed Machine Learning jobs?

Cities near Detroit, MI with the most Physics Informed Machine Learning job openings:

Infographic showing various Physics Informed Machine Learning job openings in Detroit, MI as of September 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $41,312 per year, or $19.9 per hour.

Data Scientist

Warren, MI • On-site, Remote

General Motors
Transportation Equipment Manufacturing • 10K+ employees

Full-time

Posted 13 days ago


Key responsibilities

  • Lead the execution of AI, machine learning, or data science workstreams from methodology through delivery.

  • Contribute to product decisions and help shape the ideation, design, and development of analytical methods and solutions.

  • Partner cross-functionally with data engineering, software delivery, product delivery teams, business units, and other stakeholders to drive product development and business outcomes.


General Motors rating

8.2

Company rating: 8.2 out of 10

Based on 310 frontline employees who took The Breakroom Quiz

2nd of 45 rated automakers


Job description

Job Description

The Role

As an L6 Data Scientist supporting Sales, Brand & Dealer, you will lead the execution of one or more workstreams within an AI, machine learning, or data science product. You will build deep technical expertise under the guidance of the product's lead scientist while actively contributing to product decisions, methodological direction, and the development of high-impact solutions.

What You Will Do

  • Lead the execution of assigned AI, machine learning, or data science workstreams from methodology through delivery.
  • Contribute to product decisions and help shape the ideation, design, and development of analytical methods and solutions.
  • Develop high-quality code that is methodologically sound, maintainable, scalable, and operationally robust.
  • Explore and apply new methods, technologies, and approaches to expand the product's technical capabilities.
  • Deliver results on time while managing risks and maintaining methodological and operational quality.
  • Partner cross-functionally with data engineering, software delivery, product delivery teams, business units, and other stakeholders to drive product development and business outcomes.
  • Translate complex technical concepts, tradeoffs, assumptions, and risks into clear insights and recommendations for stakeholders and leaders.
  • Present workstream progress, findings, and business impact to technical and business audiences.

Your Skills and Abilities (Required Qualifications)

  • 3+ years working in the field of advanced analytics, AI/ML and/or operations research initiatives, developing and integrating analytical methods into software products;
  • Demonstrated use of innovative methodologies and approaches to solving business problems, resulting in meaningful business impact;
  • Experience across multiple AI/ML and analytics domains (LLMs, forecasting, deep learning, operations research, prescriptive & predictive methods, etc.);
  • Expertise in Python and other cloud-based data science platforms (Databricks preferred), and proficiency in SQL;
  • Experience with generative AI tools and platforms such as Cursor, GitHub and/or Microsoft Copilot, Glean, Databricks Genie, etc.
  • Strong presentation and communication skills; and
  • M.S. or Ph.D. in operations research, engineering, computer science, applied statistics, economics, physics, or related field. Equivalent additional experience may substitute for advanced degree.

What Can Give You a Competitive Advantage (Preferred Qualifications)

  • Experience contributing to AI, machine learning, or data science products from concept through production delivery.
  • Experience influencing product decisions and shaping methodological direction.
  • Breadth across modern data science methods, tools, and technologies, with a demonstrated interest in continuous technical growth.
  • Experience building solutions that are reliable, maintainable, scalable, and operationally ready.
  • Experience working across multidisciplinary teams, including data engineering, software engineering, product delivery, and business stakeholders.
  • Demonstrated ability to connect technical work to measurable business impact. Publications, conference talks, patents or other generated intellectual property, committed open-source work, or other external technical recognition preferred.
  • Experience presenting complex analytical results and technical tradeoffs to senior leaders and diverse audiences.
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 hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

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, email us 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