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Machine Learning Engineer Intern Jobs in Canton, MI

Domino's

Lead Machine Learning Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Serve as a senior technical resource for Machine Learning, AI, and Generative AI initiatives. * Provide technical leadership and mentorship to engineers and data scientists. * Translate business ...

New

Saanvi Technologies

Machine Learning Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

Machine Learning Engineering Engineer 3 Dearborn, MI W2 Position Description: We are seeking an experienced AI Engineer to design, develop, and deploy intelligent solutions that leverage Machine ...

Doist

Machine Learning Engineer, II - 3D Perception

Ann Arbor, MI · On-site

$153 - $184/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Support and mentor Machine Learning Engineer I team members on implementation, experimentation, and machine learning best practices. Document technical work, evaluation results, and design decisions ...

Canopy

Senior Machine Learning Engineer

Detroit, MI · Remote

$126K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Canopy

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

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Showing results 21-40

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

Machine Learning Engineer Intern information

See Canton, MI salary details

$23.6K

$39.5K

$81.6K

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 Canton, MI is $39,464.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,100.00 and $42,600.00 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 Canton, MI?

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Machine Learning Engineer Intern jobs near you

Lead Machine Learning Engineer

Domino's

Ann Arbor, MI • On-site

$100K - $132K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New

Domino's rating

4.8

Company rating: 4.8 out of 10

Based on 1,931 frontline employees who took The Breakroom Quiz

20th of 24 rated food delivery companies

Job description

Company Description
Domino's Pizza, which began in 1960 as a single store location in Ypsilanti, MI, has had a lot to celebrate lately: we're a reshaped, reenergized brand of honesty, transparency and accountability - not to mention, great food! In the rise to becoming a true technology leader, the brand is now consistently one of the top five companies in online transactions and 85% of our sales in the U.S. are taken through digital channels. The brand continues to 'deliver the dream' to local business owners, 90% of which started as delivery drivers and pizza makers in our stores. That's just the tip of the iceberg...or as we might say, one "slice" of the pie! If this sounds like a brand you'd like to be a part of, consider joining our team!
Job Description
Leads the design, development, and deployment of machine learning models to address moderately complex to complex business challenges. Applies advanced technical expertise and organizational knowledge to independently solve problems that may lack well-defined solutions, ensuring alignment with strategic objectives and operational requirements.
Responsibilities
  • Serve as a senior technical resource for Machine Learning, AI, and Generative AI initiatives.
  • Provide technical leadership and mentorship to engineers and data scientists.
  • Translate business requirements into scalable, maintainable technical solutions.
  • Promote engineering best practices across software development, MLOps, and cloud-native platforms.
  • Collaborate with cross-functional teams to deliver business value through AI and data-driven solutions.
  • Contribute to the design and evolution of scalable ML/AI architectures and operational processes.
  • Evaluate emerging technologies and recommend opportunities for adoption when appropriate.

Job Tasks
  • Conduct code reviews, design discussions, and technical troubleshooting sessions.
  • Design, develop, deploy, and support production ML and AI solutions using Azure, Databricks, and containerized services.
  • Build reusable frameworks, APIs, deployment patterns, and automation capabilities.
  • Partner with architects, engineers, and platform teams to deliver secure, scalable, and maintainable solutions.
  • Develop and operationalize machine learning and Generative AI solutions that support business objectives.
  • Integrate AI services, APIs, and enterprise data sources into production applications and workflows.
  • Contribute to model deployment, monitoring, and lifecycle management activities.
  • Participate in Agile ceremonies, technical planning, and solution design reviews.
  • Contribute to shared code repositories through peer reviews, testing, and continuous integration practices.
  • Support production deployments, incident response, troubleshooting, and root cause analysis efforts.

Qualifications
  • 5 to 8 years of professional experience in machine learning engineering or related fields demonstrating mastery of advanced technical skills and independent project leadership.
  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical discipline; advanced degrees preferred.

Skills
  • Advanced proficiency in machine learning algorithms, model development, and evaluation techniques.
  • Strong programming skills in Python and experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
  • Ability to independently solve complex problems with limited guidance, leveraging deep organizational and functional knowledge.
  • Effective communication skills, with the ability to articulate technical concepts and collaborate across teams.
  • Experience designing scalable machine learning systems and integrating them into production workflows.

Software Application
  • Microsoft Azure (Azure Container Apps, Azure AI Services, Azure Storage, Azure Key Vault, Azure Monitor, Event Hubs, and related cloud services)
  • Azure Machine Learning for model development, deployment, monitoring, and lifecycle management
  • Databricks for data engineering, machine learning, and large-scale analytics
  • GitHub (GitHub Enterprise, Actions, and repository management) for source control, CI/CD, and DevOps automation
  • Python and associated ML libraries (TensorFlow, PyTorch, scikit-learn, Pandas, NumPy)
  • Containerization and orchestration technologies (Docker, Kubernetes, Azure Container Apps)
  • REST APIs and integration frameworks for connecting AI services, enterprise applications, and data platforms

Additional Information
Location: Must reside in the Ann Arbor area or be willing to relocate
Benefits:
• Paid Holidays and Vacation
• Medical, Dental & Vision benefits that start on the first day of employment
• No-cost mental health support for employee and dependents
• Childcare tuition discounts
• No-cost fitness, nutrition, and wellness programs
• Fertility benefits
• Adoption assistance
• 401k matching contributions
• 15% off the purchase price of stock
• Company bonus
All your information will be kept confidential according to EEO guidelines.

What Domino's employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Domino's logo

About Domino's

Sourced by ZipRecruiter

Since 1960, we've grown from just one store to become the #1 pizza company in the world. To get there and continue to go above and beyond, it takes persistent passion, incredible vision, and bold thinking. It takes every one of our employees feeling like they have pizza sauce running through their veins. What's life like at Domino's Whatever your role at Domino’s, you’ll find life here is exciting, enormously fun, and always asks you to think on your feet. If you bring your passion, drive, and a purpose to perform, there are real growth opportunities across the brand. Many people find that what starts as a day job becomes a fulfilling career, surrounded by amazing people who make sure each new day tops the last. That’s what we mean by the power of possible. We are made better together In a Domino’s corporate job, our leaders work hard to create a level playing field where corporate team members can succeed, innovate, and above all, feel like they belong. See how different backgrounds make us better, and how your unique talents could power what’s possible in a Domino’s corporate career.

Industry

Food and beverage stores, real estate and food services and drinking places

Company size

10,000+ Employees

Headquarters location

Ann Arbor, MI, US

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