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Machine Learning Engineer Intern Jobs in Rochester, MI

Leggett & Platt

Systems Engineer Intern

Detroit, MI · On-site

$16.50 - $21.50/hr

As a Systems Engineer Intern, you'll work alongside experienced engineers to support the ... Put People First reflects our commitment to safety and care of each other, learning and development ...

Leggett & Platt

Systems Engineer Intern

Detroit, MI

$16.50 - $21.50/hr

As a Systems Engineer Intern, you'll work alongside experienced engineers to support the ... Put People First reflects our commitment to safety and care of each other, learning and development ...

Leggett & Platt

Systems Engineer Intern

Detroit, MI

$16.50 - $21.50/hr

As a Systems Engineer Intern, you'll work alongside experienced engineers to support the ... Put People First reflects our commitment to safety and care of each other, learning and development ...

Autodesk

Senior Machine Learning Test Engineer

Novi, MI · On-site +1

$103K - $134K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East Coast Position Overview As a Senior Machine Learning Test Engineer in the Research Enablement team ...

TriMas Corporation

Software Engineering Intern

Bloomfield, MI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Software Engineering Intern Company: TriMas Packaging LLC Primary Location: 38505 Woodward Avenue ... Knowledge of machine learning or AI techniques (for classification, anomaly detection, or mapping)

Varsity Tutors

Machine Learning Tutor

Detroit, MI · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Showing results 21-40

All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in Rochester, MI

Machine Learning Engineer Intern information

See Rochester, MI salary details

$23.5K

$39.2K

$81K

How much do machine learning engineer intern jobs pay per year?

As of Aug 19, 2026, the average yearly pay for machine learning engineer intern in Rochester, MI is $39,196.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,900.00 and $42,300.00 per year, depending on experience, location, and employer.

What is a machine learning engineer intern?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What do machine learning engineer interns do?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What skills and qualifications are needed to thrive as a machine learning engineer intern?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What are popular job titles related to Machine Learning Engineer Intern jobs in Rochester, MI?

For Machine Learning Engineer Intern jobs in Rochester, MI, the most frequently searched job titles are:

What cities near Rochester, MI are hiring for Machine Learning Engineer Intern jobs?

Cities near Rochester, MI with the most Machine Learning Engineer Intern job openings:

Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in Rochester, MI as of August 2026, with employment types broken down into 1% As Needed, 57% Full Time, 29% Part Time, 11% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $39,196 per year, or $18.8 per hour.

Senior Machine Learning Engineer (Computer Vision & AI)

Faurecia

Auburn Hills, MI • On-site

$115K - $152K/yr

Full-time

Re-posted 27 days ago

Faurecia rating

5.9

Company rating: 5.9 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

Forvia, a sustainable mobility technology leader
We pioneer technology for mobility experience that matter to people.
Your mission, roles and responsibilities
Role Summary
As a Senior Machine Learning Engineer, you will play a key role in developing and deploying advanced AI solutions that drive innovation across our automotive products and manufacturing processes. This role is focused on applied machine learning, with an emphasis on computer vision, predictive analytics, and scalable model deployment.
You will partner with cross-functional teams across engineering, manufacturing, and R&D to design, build, and productionize machine learning models that deliver measurable business impact. This is a hands-on role requiring strong technical depth, ownership of model lifecycle, and the ability to operate effectively in a fast-paced, evolving environment.
Key Responsibilities
  • Design, develop, and deploy machine learning models with a focus on computer vision, predictive maintenance, and anomaly detection
  • Build and maintain end-to-end ML pipelines, including data preprocessing, model training, evaluation, and deployment
  • Collaborate with engineering, manufacturing, and business stakeholders to translate real-world problems into scalable AI solutions
  • Optimize model performance and scalability using GPU acceleration and parallel computing frameworks
  • Leverage Python and deep learning frameworks (PyTorch, TensorFlow) to implement production-ready solutions
  • Partner with data and software engineering teams to integrate models into production systems and workflows
  • Contribute to AI innovation initiatives, including exploration of generative AI use cases in design and engineering contexts
  • Ensure best practices in model reproducibility, documentation, and performance monitoring
  • Stay current with advancements in machine learning and apply relevant techniques to improve existing capabilities

Your profile and competencies to succeed
Your Profile & Competencies
  • Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field
  • 5+ years (preferably 7+) of hands-on experience in machine learning or applied AI roles
  • Strong expertise in machine learning and deep learning, with practical experience in computer vision applications
  • Proficiency in Python and modern ML frameworks such as PyTorch or TensorFlow
  • Experience building and deploying models in production environments
  • Familiarity with GPU acceleration (CUDA or similar frameworks) and performance optimization techniques
  • Experience with ML pipelines, model lifecycle management, and scalable system design
  • Ability to work effectively in matrixed, cross-functional environments
  • Strong problem-solving and analytical skills, with the ability to translate complex data into actionable insights
  • Effective communicator, able to explain technical concepts to non-technical stakeholders
  • Experience in automotive, manufacturing, or industrial environments is a strong plus
  • Familiarity with cloud platforms (e.g., Azure) and Agile development practices is preferred

What we can do for you
  • At Forvia, you will find an engaging and dynamic environment where you can contribute to the development of sustainable mobility leading technologies.
  • We are the seventh-largest global automotive supplier, employing more than 157,000 people in more than 40 countries which makes a lot of opportunity for career development.
  • We welcome energetic and agile people who can thrive in a fast-changing environment. People who share our strong values. Team players with a collaborative mindset and a passion to deliver high standards for our clients. Lifelong learners. High performers. Globally minded people who aspire to work in a transforming industry, where excellence, speed, and quality count.
  • We cultivate a learning environment, dedicating tools and resources to ensure we remain at the forefront of mobility. Our people enjoy an average of more than 22 hours of online and in-person training within FORVIA University (five campuses around the world)
  • We offer a multicultural environment that values diversity and international collaboration. We believe that diversity is a strength. To create an inclusive culture where all forms of diversity create real value for the company, we have adopted gender diversity targets and inclusion action plans.
  • Achieving CO2 Net Zero as a pioneer of the automotive industry is a priority: In June 2022, Forvia became the first global automotive group to be certified with the new SBTI Net-Zero Standard (the most ambitious standard of SBTi), aligned with the ambition of the 2015 Paris Agreement of limiting global warming to 1.5°C. Three principles guide our action: use less, use better and use longer, with a focus on recyclability and circular economy.

Why join us
FORVIA is an automotive technology group at the heart of smarter and more sustainable mobility. We bring together expertise in electronics, clean mobility, lighting, interiors, seating, and lifecycle solutions to drive change in the automotive industry.
With a history stretching back more than a century, we are the 7th largest global automotive supplier, employing more than 157,000 people in 43 countries. You'll find our technology in around 1 out of 2 vehicles produced anywhere in the world.
In June 2022, we became the 1st global automotive group to be certified with the SBTI Net-Zero Standard. We have committed to reach CO2 Net Zero by no later than 2045.
As technological innovation and the need for sustainability transform the automotive industry, we are ideally positioned to deliver solutions that will enhance the lives of road-users everywhere.

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