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Artificial Intelligence Machine Learning Engineer Jobs in Michigan

Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity use cases such as detection engineering, threat hunting, and response acceleration * Working with ...

Agentic AI Engineer We are seeking a highly skilled Agentic AI Engineer to support advanced R&D ... Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field

Agentic AI Engineer We are seeking a highly skilled Agentic AI Engineer to support advanced R&D ... Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field

... artificial intelligence/machine learning solution architecture 4+ years of experience with AI ... AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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Artificial Intelligence Machine Learning Engineer information

See Michigan salary details

$27.5K

$112.2K

$168.7K

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

As of Jun 27, 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 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 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 a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior AI or machine learning engineers, research directors, or executive positions in artificial intelligence. These roles often require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with leadership responsibilities and a strong track record of innovation. Compensation at this level reflects extensive expertise, strategic impact, and often involves stock options or bonuses in addition to base salary.

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 engineers make $500,000?

Artificial Intelligence and Machine Learning Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in deep learning, and work in high-demand industries like tech or finance. Compensation often includes base salary, bonuses, and stock options, particularly at senior levels or in leadership roles.

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.

Is AI ML engineer in demand?

AI and ML engineers are in high demand across various industries due to the increasing adoption of artificial intelligence technologies. Companies seek professionals skilled in programming languages like Python, machine learning frameworks, and data analysis to develop and implement AI solutions, leading to strong job growth and competitive salaries in this field.

How much do AI ML engineers make?

AI ML engineers typically earn a median salary ranging from $100,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning, natural language processing, or cloud platforms can command higher salaries, often exceeding $200,000.
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:
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Michigan as of June 2026, with employment types broken down into 87% Full Time, 8% Part Time, 3% Contract, and 2% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $112,234 per year, or $54 per hour.

Sr. Manager, Artificial Intelligence

Astemo

Farmington Hills, MI

Full-time

Posted 5 days ago


Job description

Company Name:

ASTEMO AMERICAS, INC.

Job Family:

Engineering

Job Description:

General Responsibilities:

Join Astemo's Artificial Intelligence team within the Software Defined Vehicle organization.
We are seeking a dynamic and experienced Department Manager to lead a team focused on Artificial Intelligence (AI) and Machine Learning (ML) solutions for software defined vehicles. In this role, you will oversee the design, implementation, and optimization of AI/ML-based systems, ensuring they meet performance, scalability, and reliability standards. You will also foster a collaborative, agile environment that empowers innovation and growth. This team works cross-functionally with embedded software, systems, hardware, and advanced development teams to deliver high-quality solutions that support Astemo's vision. As a people leader, you will shape strategic initiatives that align with Astemo's transformation into AI first mobility solutions provider.

Job Responsibilities:

The following are the primary responsibilities (other duties may be assigned as needed):

  • Lead the development and deployment of AI/ML technologies for Astemo's SDV BU.
  • Collaborate with cross-functional teams, including system engineers, software developers, hardware engineers, and business stakeholders, to define project requirements and ensure successful execution.
  • Ensure the timely delivery of projects by monitoring progress, addressing roadblocks, and implementing agile methodologies improve speed, quality, and safety across development cycles.
  • Provide technical guidance and mentorship to engineers and foster a culture of continuous learning and professional growth.
  • Stay informed of emerging technologies and trends in AI/ML, recommending innovative approaches to enhance our designs.
  • Define system architecture and design, incorporating best practices and industry standards to create robust and maintainable systems.
  • Communicate project status, risks, and opportunities to senior leadership.
  • Partner with other departments to promote AI/ML adoption across the organization.
  • Manage resource planning and team development.
  • Good verbal and written English skills

Qualifications:

The ideal candidate will have:

  • Bachelor of Science degree in Artificial Intelligence, Mechanical Engineering, Electrical Engineering, Computer Science, Computer Engineering, Mathematics or a related technical degree
  • Minimum of 10 years of professional engineering/technical experience
  • Minimum of 5 years of engineering experience related to AI/ML, control systems, embedded control system, and/or safety critical system development
  • Strong knowledge of AI/ML concepts, frameworks, and applications in software development.
  • Experience with common machine learning libraries and frameworks.
  • Familiarity with deep learning techniques, neural networks, and natural language processing.
  • Solid understanding of computer programming languages such as Python, Java, C++, etc.
  • Demonstrated technical background in powertrain controls, AD/ADAS, chassis controls and/or vehicle dynamics
  • Proven track record of successful project execution
  • Excellent multi-functional communication and leadership skills - able to get multiple teams moving in the same direction
  • Demonstrated ability to deal with ambiguity while driving timely decision making

Additionally, the ability to work independently with minimal direction is required as are strong verbal and written communication skills. Experience with PCs and application software, such as MS Office tools, is also required.

Education: Bachelor's or Master's degree in Artificial Intelligence or Computer Science or Electrical Engineering

Experience: Minimum of 10 years applicable experience in automotive.

Job level determined by various factors such as organization size, responsibility, career stage, and capabilities.

Supervisory Responsibilities: Leading and mentoring the efforts of engineers who are responsible for sub-project activities.

Working conditions:

  • Physical Demands: Required to sit or stand for long periods of time. The employee may occasionally lift and/or move up to 25 pounds.
  • Travel: Domestic and international may be required as needed. The candidate will occasionally need to travel to multiple global locations to support project development.

Equal Opportunity Employer (EOE) - Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender, identity, disability, protected veteran status and national origin.

At Astemo, we're challenging the status quo with the power of diversity, inclusion, and collaboration. Our goal is to build an inclusive work environment that celebrates the differences of our employees. We want to ensure that every employee feels valued, respected and empowered. We don't just accept difference-we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products, and our community. Astemo is proud to be an equal opportunity employer.

If you need a reasonable accommodation to apply for a job at Astemo, please send the nature of the request and contact information to am-jobs@hitachiastemo.com when applying for the position.