ZipRecruiter

Log In

1

Physics Informed Machine Learning Jobs in Detroit, MI

GM Financial

Sr Data Scientist

Detroit, MI · On-site

We're committed to AI-powered transformation, using advanced machine learning and automation to ... Computer Science, Physics or similar quantitative field required (a combination of education ...

Stellantis

Solution Architect

Auburn Hills, MI · On-site

$59.50 - $78.50/hr

... machine learning, intelligent systems, control systems, mechatronics, systems, mechanical engineering...) or a science field (e.g. physics, mathematics, ...) • Ability to work across teams. • ...

KLA Corporation

Software Engineering Intern

Ann Arbor, MI · On-site

$32 - $45/hr

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 ...

Pwc

US Tech - AI Engineering Manager

Detroit, MI

$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 ...

Pwc

NGA AI Engineer Senior Manager

Detroit, MI

$91K - $321K/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 ...

Pwc

NGA AI Engineer Manager

Detroit, MI

$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 ...

May Mobility

Robotics Engineer II

Ann Arbor, MI

Train, Integrate and Test Machine Learning models for on-vehicle Autonomy software * Optimize and ... physics, aerospace engineering) * Basic understanding of ML model concepts such as training ...

Stellantis

Solution Architect

Auburn Hills, MI · On-site

$59.50 - $78.50/hr

A degree in an engineering field (e.g. computer, software, machine learning, intelligent systems, control systems, mechatronics, systems, mechanical engineering...) or a science field (e.g. physics ...

next page

Showing results 1-20

All JobsPhysics Informed Machine Learning JobsPhysics Informed Machine Learning Jobs in Detroit, MI

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 Jul 13, 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 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 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:
Physics Informed Machine Learning jobs near you
Sr Data Scientist

Sr Data Scientist

GM Financial

Detroit, MI • On-site

Full-time

Retirement

Re-posted 13 days ago

GM Financial rating

7.9

Company rating: 7.9 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

66th of 148 rated vehicle equipment hire

Job description


Why GM Financial Technology
Innovation isn't just a talking point at GM Financial, it's how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We're committed to AI-powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry.
Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact.
Responsibilities
About the Role:
The Senior Data Scientist is responsible for Implementing the design, development, deployment, and maintenance of predictive/prescriptive/statistical models in originations, collections, risk, pricing, fraud, customer experience and marketing; Modeling with expertise in forecasting, optimization, data mining, analysis, and analyzing complex datasets; Conducting studies with the use of descriptive and supervised machine learning methods and advanced statistical methods using innovative and the latest advanced technique and algorithms; Summarizing, reporting, and providing polished presentations of findings to a variety of internal clients as well as working with other departments to achieve the overall company objectives; Lead in the production of research and analysis to quantify the impact of internal and external environments on portfolio performance. The Senior Data Scientist is the subject matter expert with an in depth knowledge of quantitative methods and diligent knowledge of data sources and tools.
In this role you will:
  • Provides leadership, coaching, and/or mentoring to Data Scientists I and II
  • Performs research, analysis, and modeling on organizational data
  • Assists in analyzing key metrics and performing data analysis
  • Builds technical knowledge to support research and analytic responsibilities including advanced techniques and algorithms
  • Conducts research projects, incorporate project design, data collection and analysis, summarizing findings, developing recommendations and effectively communicating to leadership the impact to the business
  • Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions
  • Presents findings and analysis for use in decision making
  • Ensures that the delivered products meet the business needs of the company
  • Partners with and provide recommendations to business leadership on the appropriate application of analytics to business strategies and effectively communicate analysis and implications to senior leadership
  • Prioritizes tasks and meets project deadlines in a fast paced work environment
  • Strong quantitative, analytical and data interpretation skills with a solid foundation of mathematics, probability, and statistics
  • Ability to identify and understand business issues and map these issues into quantitative questions
  • Advanced knowledge and demonstrated understanding of applied methodologies including least squares regression, logistic regression, sampling methodologies, time series, survival analysis, cluster analysis, categorical data analysis, decision trees, multivariate methodologies, non-parametric techniques, principal components, and linear programming techniques.
  • Advanced skills in Python, SAS, SQL, R, JMP, Excel, Word, PowerPoint
  • Ability to design and implement model documentation and monitoring protocols
  • Comprehensive knowledge and experience with technical systems, datasets, data warehouses, and data analysis techniques
  • Efficiently work with large datasets
  • Provides leadership, coaching, and/or mentoring to Data Scientists I and II
  • Strong written and verbal presentation skills with an ability to communicate effectively with Senior Management by making complex concepts easy to understand
  • Ability to be curious, ask questions, explore, and be creative when analyzing data and business problems
  • Ability to identify and seek needed information/research skills
  • Analytical thinking skills
  • Ability to interact collaboratively with internal and external customers
  • Capable of managing multiple and varied projects, including the ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure

Qualifications
Experience
  • 4+ yrs as a Data Scientist or similar quantitative field required
  • Master's Degree or PhD in Statistics, Applied Mathematics, Econometrics, Economics, Operations Research, Industrial Engineering, Computer Science, Physics or similar quantitative field required (a combination of education, certifications, and/or work experience may be considered in lieu of an advanced degree)

What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.
Our Culture: Our team members define and shape our culture - an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work - we thrive.
Compensation: Competitive pay and bonus eligibility.
Work Life Balance: Flexible hybrid work environment, 2-days a week in office Ft. Worth, TX
This position is not open to agency submissions
#GMFJobs
#LI-MH1
#LI-Hybrid

What GM Financial employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply