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Artificial Intelligence Machine Learning Engineer Jobs in Michigan

General Motors

Senior Machine Learning Engineer

Warren, MI · On-site +1

$222.91K - $227.20K/yr

Machine Learning Frameworks, including TensorFlow and PyTorch; Mathematical Reasoning and Probability; Programming in C++ or Python; Experience with Robot Operating System (ROS), OpenCV, or PCL;

Canopy

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director of AI Engineering, you'll contribute to the development of cutting-edge AI solutions to combat ...

Wayve

Machine Learning Engineer, App SW

Detroit, MI · Hybrid

$283.50K - $381.60K/yr

... intelligence such as personalisation, comfort, and collaboration. You'll design and deliver ML ... About you: In order to set you up for success as a Machine Learning Engineer at Wayve, we're ...

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Stefanini

Artificial Intelligence Engineer

Dearborn, MI

$97.60K - $132.60K/yr

... Artificial Intelligence & Expert Systems, SQL, Python Experience RequiredSenior Specialist Exp: 7+ experience in relevant field.6-8 years in Software or Data Engineering, with a strong emphasis on ...

Eccalon LLC

AI Expert Robotics - onsite

Detroit, MI

Integrate machine learning and artificial intelligence models into robotic platforms and embedded ... Collaborate with mechanical, electrical, and software engineering teams to ensure end-to-end system ...

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Artificial Intelligence Machine Learning Engineer information

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$27.5K

$112.2K

$168.7K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for artificial intelligence machine learning engineer in Michigan is $112,234.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,500.00 and $135,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Machine Learning Engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

What are some common challenges faced by Artificial Intelligence Machine Learning Engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What is an Artificial Intelligence Machine Learning Engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Michigan? For Artificial Intelligence Machine Learning Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Michigan look for? The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Michigan are:
What cities in Michigan are hiring for Artificial Intelligence Machine Learning Engineer jobs? Cities in Michigan with the most Artificial Intelligence Machine Learning Engineer job openings:
Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Michigan as of May 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $112,234 per year, or $54 per hour.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

General Motors

Warren, MI • On-site, Remote

$222.91K - $227.20K/yr

Full-time

Posted 16 days ago

General Motors rating

8.1

Company rating: 8.1 out of 10

Based on 301 frontline employees who took The Breakroom Quiz

5th of 44 rated automakers

Job description

Job Description
DUTIES: Research, design, and develop new machine learning solutions and algorithms for driverless technology company. Explore, prototype, validate, and iterate new algorithms and strategies. Drive efforts to optimize, supervise and refine on-road performance for models in production.
Be considered one of the technical leaders of the department who guides current and future technology choices. May telecommute. Multiple positions available.
REQUIREMENTS: Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics Engineering or a related field and Two (2) years of experience as a Software Engineer, Machine Learning Engineer, or a related occupation. Experience with: Machine Learning and Classification; Machine Learning Frameworks, including TensorFlow and PyTorch; Mathematical Reasoning and Probability; Programming in C++
or Python; Experience with Robot Operating System (ROS), OpenCV, or PCL; Autonomous Driving Technologies, including Control, Perception, and Planning Systems; and Cross-Team
Collaboration.
Compensation:
  • The expected base compensation for this role is $222,907.95 to $227,200 Annually.
  • Actual base compensation within the identified range will vary based on factors relevant to the position.
  • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

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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.
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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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