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Machine Learning Internship Opt Cpt Jobs in Detroit, MI

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $180K/yr

Desired Qualifications * 2-8+ years of experience (including internships or research) in machine learning, reinforcement learning, or scientific computing-or a strong recent graduate with ...

Train new machine learning models to solve complex business problems. * Prototype new AI solutions ... OPT, STEM OPT, CPT, TN, J-1, etc).This role is categorized as hybrid. This means the selected ...

Train new machine learning models to solve complex business problems. * Prototype new AI solutions ... H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). This role is categorized as hybrid. This means the ...

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Machine Learning Internship Opt Cpt information

See Detroit, MI salary details

$25.2K

$42.2K

$87.1K

How much do machine learning internship opt cpt jobs pay per year?

As of Aug 12, 2026, the average yearly pay for machine learning internship opt cpt in Detroit, MI is $42,156.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,500.00 per year, depending on experience, location, and employer.

What kinds of projects or tasks can a machine learning intern expect to work on during an internship?

As a Machine Learning intern, you can expect to be involved in projects such as data preprocessing, exploratory data analysis, model building, and performance evaluation. Interns often work with real datasets, contribute to feature engineering, and assist in deploying models or creating proof-of-concept solutions. Collaboration with data scientists, engineers, and sometimes product teams is common, providing valuable insights into real-world machine learning workflows. This hands-on experience helps interns build technical skills and gain exposure to best practices in the field.

What is a machine learning internship OPT CPT?

A Machine Learning Internship OPT CPT refers to an internship opportunity in the field of machine learning that is specifically available to international students in the U.S. on F-1 visas, who are eligible for Optional Practical Training (OPT) or Curricular Practical Training (CPT). These internships allow students to gain hands-on experience applying machine learning techniques in real-world projects while meeting their academic requirements or career goals. The roles typically involve tasks such as data analysis, building predictive models, and working with large datasets using programming languages like Python or R. OPT is usually used after graduation, while CPT is often part of the academic curriculum during the degree program.

What is the difference between Machine Learning Internship Opt Cpt vs Data Science Internship?

AspectMachine Learning Internship Opt CptData Science Internship
Required CredentialsTypically requires coursework or experience in machine learning, programming, and statisticsRequires knowledge in statistics, data analysis, and programming, often with a focus on data manipulation
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBroad industry sectors including finance, healthcare, tech, with data analysis focus
Employer & Industry UsageUsed by companies developing AI/ML products and servicesUsed across industries for data-driven decision making

While both internships involve working with data, the Machine Learning Internship Opt Cpt focuses on developing algorithms and models, whereas Data Science Internships emphasize data analysis and insights. Your choice depends on whether you want to specialize in machine learning techniques or broader data analysis tasks.

What are the key skills and qualifications needed to thrive as a machine learning intern OPT CPT?

To thrive as a Machine Learning Intern (OPT CPT), you need a solid background in computer science, mathematics, and statistics, often demonstrated by coursework or a related degree. Experience with programming languages like Python or R, familiarity with machine learning frameworks such as TensorFlow or scikit-learn, and understanding of data analysis tools are commonly required. Strong problem-solving abilities, curiosity, and effective teamwork and communication skills help interns stand out. These skills are crucial for successfully contributing to projects, learning from real-world data, and collaborating with multidisciplinary teams.
What are popular job titles related to Machine Learning Internship Opt Cpt jobs in Detroit, MI? For Machine Learning Internship Opt Cpt jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Machine Learning Internship Opt Cpt jobs in Detroit, MI look for? The top searched job categories for Machine Learning Internship Opt Cpt jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Machine Learning Internship Opt Cpt jobs? Cities near Detroit, MI with the most Machine Learning Internship Opt Cpt job openings:
Infographic showing various Machine Learning Internship Opt Cpt job openings in Detroit, MI as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,156 per year, or $20.3 per hour.

2026 Fall Intern - Research & Development: AI/ML

General Motors

Warren, MI • On-site

$14 - $18.75/hr

Full-time

Re-posted 16 hours ago


General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 306 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,274 frontline employees who took The Breakroom Quiz


Job description

Job Description
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.).
To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report in office three times per week, at minimum [or other frequency dictated by the business].
The start date for this internship is September 7, 2026.
The Team
At GM, we craft products people crave and experiences they never forget. It all starts with research and development. We are looking for R&D Interns to craft, design, and develop groundbreaking concepts and technologies that will help shape the future of mobility.
In this internship, you will plan and execute collaborative research that applies advanced artificial intelligence, machine learning, and computational methods to complex vehicle and mobility challenges. Projects may support areas such as vehicle development process acceleration, predictive engineering, vehicle safety, energy and propulsion systems, and next-generation research methods that enable faster, smarter, and more scalable engineering decisions.
You will work with technical leaders across GM Research and Development to explore innovative approaches that combine data, physics-based understanding, and modern AI/ML techniques to solve real-world problems. Our culture of innovation gives you the opportunity to be creative, contribute to impactful research, and help develop technologies that could influence the vehicles and systems of the future.
What You Will Do
  • Conduct research and/or experiments to collect required data and validate research ideas
  • Apply AI/ML, data science, and computational methods to engineering and research problems
  • Support development of methods, models, tools, or workflows that accelerate vehicle development and research outcomes
  • Assist with analysis of large, complex datasets to generate insights and improve prediction, automation, or decision-making
  • Collaborate with technical teams to evaluate emerging technologies and identify opportunities for application in automotive research
  • Document and present results; depending on the assignment, work may lead to external publications and/or intellectual property
  • Develop and execute specific research plans, including concept generation, development, implementation, and validation
  • Collaborate effectively with peers, management, operations groups, and outside organizations

Required Qualifications
  • U.S. citizenship required to comply with federal government contract provision expressly restricting role to U.S. citizens
  • Must be currently enrolled in a PhD program
  • Pursuing a degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, Mechanical Engineering, Robotics, Applied Mathematics, or a closely related science/engineering field
  • Strong foundation in AI/ML, statistical modeling, data analysis, or computational methods
  • Programming experience in Python and/or other relevant languages for machine learning, analytics, or scientific computing
  • Ability to work both independently and in teams
  • Consistently demonstrate critical thinking and strong teamwork
  • Effective verbal and written communication skills
  • Excellent persuasion, active listening, delegation, and leadership skills to work effectively with GM internal and external customers

What Will Give You a Competitive Advantage (Preferred Qualifications)
  • Prior research, internship, or project experience applying AI/ML to engineering, physical systems, or large-scale data problems
  • Experience with machine learning model development, evaluation, and deployment workflows
  • Knowledge and experience of physics-based dynamic system modeling
  • Experience with NeruoSymbolic AI or Causal/Explainable AI or Emotion/Affective AI
  • Familiarity with generative AI, large language models, deep learning, or physics-informed/data-driven modeling approaches
  • Experience working with vehicle, test, simulation, sensor, or other engineering datasets
  • Demonstrated ability to translate technical findings into clear recommendations for technical and non-technical audiences
  • Outstanding interpersonal and relationship management skills to effectively collaborate with varying levels of the organization as needed
  • Demonstrates leadership in field of study, extra-curricular activities, or service organizations
  • Strong critical thinking and analytical skills, especially the ability to synthesize large amounts of data involving multiple variables into comprehensive, impactful insights
  • Willingness to ask questions, take initiative, and be inventive
  • Emerging partnership and teamwork skills and ability to learn from and share knowledge with co-workers in a rapidly moving environment
  • High level of integrity, ability to deal with ambiguity, and takes initiative/self-directed
  • Evidence of strong character with integrity, honesty, accountability, and trust

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