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Machine Learning Robotics Jobs in Michigan (NOW HIRING)

Development of a runtime environment, which uses the App Engine SDK to deploy machine learning ... Experience in autonomous robotic or vehicle systems. * Knowledge of computer architecture ...

Robots, simulators, and machine tools * Deliver engaging classroom and hands-on technical instruction. * Evaluate student progress and ensure learning objectives are met. Curriculum Development ...

Machine Operator

Fraser, MI

$15.25 - $18.25/hr

Ability to work in a fast-paced environment with robotic and molding equipment. * Must be able to ... An interest in developing within the company (learning new skills or growth opportunities)

Machine Operator

Fraser, MI · On-site

$15.25 - $18.25/hr

Ability to work in a fast-paced environment with robotic and molding equipment. * Must be able to ... An interest in developing within the company (learning new skills or growth opportunities)

Machine Operator

Fraser, MI · On-site

$15.25 - $18.25/hr

Ability to work in a fast-paced environment with robotic and molding equipment. * Must be able to ... An interest in developing within the company (learning new skills or growth opportunities)

Machine Operator - 1st shift

Fraser, MI · On-site

$15.25 - $18.25/hr

Familiarity with automated machinery and robotics. * Knowledge of ISO and IATF quality requirements ... An interest in developing within the company (learning new skills or growth opportunities)

Machine Operator - 1st shift

Fraser, MI · On-site

$15.25 - $18.25/hr

Familiarity with automated machinery and robotics. * Knowledge of ISO and IATF quality requirements ... An interest in developing within the company (learning new skills or growth opportunities)

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Showing results 1-20

Machine Learning Robotics information

See Michigan salary details

$22.2K

$37.1K

$76.7K

How much do machine learning robotics jobs pay per year?

As of Jul 9, 2026, the average yearly pay for machine learning robotics in Michigan is $37,116.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,300.00 and $40,100.00 per year, depending on experience, location, and employer.

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

To excel in Machine Learning Robotics, a strong background in computer science, robotics, and machine learning algorithms, often supported by a relevant degree (such as in engineering or computer science), is essential. Familiarity with programming languages like Python or C++, frameworks such as TensorFlow or ROS (Robot Operating System), and experience with simulation tools are highly valuable, and certifications in AI or robotics can further enhance employability. Strong problem-solving skills, effective communication, and the ability to work collaboratively in cross-disciplinary teams help professionals stand out. These capabilities are crucial for designing, developing, and refining intelligent robotic systems that perform reliably in real-world environments.

What are some common challenges faced by professionals working in Machine Learning Robotics?

Professionals in Machine Learning Robotics often encounter challenges like integrating machine learning models with robotic hardware, ensuring reliable performance in unpredictable real-world settings, and managing computational limitations on embedded systems. Addressing these challenges usually requires creative problem-solving and close collaboration with hardware engineers, software developers, and data scientists. You may also need to continuously refine models and testing processes based on real-time feedback and evolving project goals. This dynamic environment makes the work both demanding and highly rewarding for those eager to push the boundaries of automation and intelligent systems.

What is a Machine Learning Robotics job?

A Machine Learning Robotics job involves developing algorithms that enable robots to learn from data and improve their performance over time. Professionals in this field work on applications such as autonomous navigation, robotic perception, and human-robot interaction. They use techniques like deep learning, reinforcement learning, and computer vision to enhance a robot's ability to understand and interact with its environment. This role typically requires expertise in machine learning, robotics, and software development, along with strong problem-solving skills.

What are the most commonly searched types of Machine Learning Robotics jobs in Michigan? The most popular types of Machine Learning Robotics jobs in Michigan are:
2026 Fall Intern - Research & Development: AI/ML

2026 Fall Intern - Research & Development: AI/ML

General Motors

Warren, MI • On-site

$14 - $18.75/hr

Other

Posted 26 days ago


General Motors rating

8.0

Company rating: 8.0 out of 10

Based on 308 frontline employees who took The Breakroom Quiz

6th of 44 rated automakers


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 (https://search-careers.gm.com/en/working-at-gm/total-rewards) .

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 (https://search-careers.gm.com/en/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 (Careers.Accommodations@GM.com) 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.

We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:

Our Company (https://search-careers.gm.com/en/working-at-gm/)

Our Culture

How we hire​​​​​​​ (https://search-careers.gm.com/en/how-we-hire/)

Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.

Explore our global locations (https://search-careers.gm.com/en/locations/)

We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM’s Talent Community (beamery.com) (https://flows.beamery.com/generalmotors/talcom) . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.

Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click “Apply Now” on the job posting of interest.

The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and 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 at Careers.Accommodations@GM.com .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.


What General Motors employees say

Pay

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Get the full story on Breakroom


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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