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Machine Learning Developer Intern Jobs in Michigan

Eccalon LLC

Machine Learning Engineer

Detroit, MI

Machine Learning Engineer Location: Detroit, MI- Onsite Type: Full-time Security Clearance: No clearance required, must be clearable. The Machine Learning Engineer will be an essential member of the ...

Mariana Minerals

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $160K/yr

As a Machine Learning Engineer at Mariana, you'll help build and improve the machine learning systems that control our mineral refining facilities. You'll start with well-scoped problems inside our ...

Stefanini

Machine Learning Engineer

Allen Park, MI · On-site

Stefanini is looking for a Machine Learning Engineer(Allen Park, MI) For quick apply, please reach out to Navneet Pathak at / We are looking for a candidate who is responsible for predicting and/ or ...

FastTek

Machine Learning Engineer

Dearborn, MI

Machine Learning Engineer #1058742 Position Description: We are seeking an experienced AI Engineer to design, develop, and deploy intelligent solutions leveraging Machine Learning, Large Language ...

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Machine Learning Developer Intern information

How do Machine Learning Developer Interns typically collaborate with data scientists and engineers during their internship?

Machine Learning Developer Interns often work closely with data scientists to understand the problem domain, gather relevant datasets, and select appropriate models. They also collaborate with software engineers to integrate machine learning solutions into existing systems, ensuring scalability and performance. Regular communication through stand-up meetings, code reviews, and collaborative platforms is common, allowing interns to learn best practices and receive feedback on their work. This teamwork not only enhances technical skills but also provides valuable exposure to real-world deployment and project lifecycle management.

What does a Machine Learning Developer Intern do?

A Machine Learning Developer Intern assists with developing, testing, and implementing machine learning models and algorithms under the guidance of experienced engineers or data scientists. Their tasks may include data preprocessing, model training, evaluating model performance, and helping deploy models into production environments. Interns often collaborate with team members to solve real-world problems using machine learning techniques and may also assist in researching new methodologies or optimizing existing solutions. This role provides hands-on experience in coding, data analysis, and applying theoretical concepts to practical scenarios.

What are the key skills and qualifications needed to thrive as a Machine Learning Developer Intern, and why are they important?

To thrive as a Machine Learning Developer Intern, you need a solid understanding of programming (especially Python), statistics, and machine learning concepts, often supported by coursework or relevant project experience. Familiarity with ML frameworks like TensorFlow or PyTorch, and tools such as Jupyter Notebooks and version control systems like Git, is typically expected. Strong analytical thinking, eagerness to learn, and effective communication help interns contribute to team projects and adapt quickly. These skills are essential for solving real-world problems, collaborating with teams, and building a foundation for a successful career in machine learning.

What is the difference between Machine Learning Developer Intern vs Data Scientist Intern?

AspectMachine Learning Developer InternData Scientist Intern
Required CredentialsTypically pursuing or recently completed a degree in Computer Science, Data Science, or related fields; knowledge of programming languages like Python or JavaSimilar educational background; strong skills in statistics, programming, and data analysis
Work EnvironmentHands-on experience with ML models, algorithms, and software development in tech or research settingsData analysis, visualization, and interpretation in business or research contexts
Employer & Industry UsageTech companies, startups, research labs focusing on AI/ML projectsBusiness, finance, healthcare, and research organizations analyzing large datasets

Both roles involve working with data and programming, but Machine Learning Developer Interns focus more on building and deploying ML models, while Data Scientist Interns emphasize data analysis and insights. The roles often overlap, especially in tech environments, but their core tasks differ slightly.

What cities in Michigan are hiring for Machine Learning Developer Intern jobs? Cities in Michigan with the most Machine Learning Developer Intern job openings:
Machine Learning Developer Intern jobs near you
Computer Vision & Machine Learning Developer (Hybrid)

Computer Vision & Machine Learning Developer (Hybrid)

Tommy's Express Car Wash

Holland, MI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

Job description

Computer Vision & Machine Learning Developer
This role is posted as a hybrid opportunity, blending in-office and remote work.
Tommy Car Wash Systems is looking for a Computer Vision & Machine Learning Developer who enjoys building intelligent systems that operate in the real world. This role sits at the intersection of machine learning research and production software engineering. You will work on problems such as optical character recognition (OCR), license plate recognition, and CNN-based visual perception systems, while also helping design and deploy computer vision applications that run in live operational environments.
What can Tommy's offer you?
  • Base pay and eligibility for annual profit-sharing bonus
  • Full insurance package including Health, Dental, Vision, Life, Disability, Employee Assistance
  • Dependent Care FSA with on-site Daycare options
  • 401k match and complimentary financial planning services
  • Paid time off and paid holidays
  • Opportunity for continued education and tuition assistance
  • Valuable learning and development program
  • Significant ability to grow internally for motivated and strong performing team members
  • Fun, energetic, family-oriented work culture with an emphasis on team member morale
  • Growing nationwide brand / presence

Position Responsibilities:
  • Develop machine learning and computer vision systems for real-world applications.
  • Design, train, and evaluate CNN-based models for visual recognition tasks.
  • Build production software that integrates ML models into larger applications and pipelines.
  • Implement real-time or near-real-time processing of image and video data.
  • Prototype and test new approaches to perception problems using experimental data.
  • Contribute to data engineering tasks including dataset creation, labeling, and preprocessing.
  • Deploy models to edge devices or cloud infrastructure and maintain their performance in production.
  • Write clean, maintainable code using modern software engineering practices.
  • Collaborate with engineers, product teams, and stakeholders to translate operational needs into intelligent systems.
  • Other duties as assigned; duties and responsibilities may change at any time with or without notice.

Applied Machine Learning Systems:
  • OCR and license plate recognition pipelines
  • CNN-based detection and classification models
  • Retail or operational analytics derived from visual data
  • Data collection, labeling, and model evaluation workflows

Computer Vision Engineering:
  • Real-time video processing systems
  • Object detection, tracking, and environmental monitoring
  • Integration with camera hardware and edge compute devices
  • Production deployment and system optimization

Position Qualifications & Candidate Attributes:
  • Bachelor's or Master's degree in Computer Science, Robotics, Machine Learning, Electrical Engineering, or related field (or equivalent experience).
  • Strong programming skills in OOP language, preferably Python.
  • Experience with machine learning frameworks such as PyTorch or TensorFlow.
  • Experience working with computer vision or image processing techniques.
  • Solid understanding of software engineering fundamentals including version control, testing, debugging, and modular design.
  • Ability to move between rapid experimentation and production-grade development.
  • Views customer care as high priority; exhibits a positive can-do attitude
  • Displays a strong initiative and drive to identify gaps and fill them
  • Experience building OCR or license plate recognition systems.
  • Experience with convolutional neural networks for vision tasks.
  • Familiarity with OpenCV or similar image processing libraries.
  • Experience working with video pipelines or camera systems.
  • Experience deploying models to edge devices (Jetson, Coral, etc.).
  • Experience with Docker, Linux, and CI/CD workflows.
  • Familiarity with C++ or another performance-oriented language.
  • Experience working with cloud ML platforms or model lifecycle tools.
  • Experience with cloud platforms (AWS, Google Cloud, Azure etc).
  • Familiarity with Node.js, C++, JavaScript, and other programming languages.
  • Experience with PCs and camera hardware connections.
  • Technical savvy and proficient in Microsoft Office; experience within database systems a plus
  • Excellent written and oral communication skills
  • Process-oriented and strong collaborator with ability to communicate and manage well at all levels of the organization and across various departments
  • Strong organizational and time management skills; ability to multitask and prioritize workload
  • Highly adaptable with strong problem-solving and critical thinking skills; ability to exercise good judgment and make sound data-backed decisions
  • High level of integrity and dependability with a strong sense of urgency and results-orientation

Work Environment and Physical Demands:
Office: This job operates in a professional office environment. Office hours are Monday through Friday from 8:00am - 5:00pm. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and operates primarily indoors with limited to no travel expectation.
Overview of Tommy Enterprises Companies:
Tommy's Express is a national franchise for outstanding car washes and car care services. Powered by industry leading technology and decades of experience and planning, Tommy's Express car washes deliver a cutting-edge car wash experience unlike anything you've encountered before. Our fully automatic washes feature advances including the easy-loading car wash dual belt conveyor, wide open car wash bay for natural lighting, advanced presoak and sealer services, and free high-power self-serve vacuums on site.
Tommy's Express Operations consists of a number of corporately owned Tommy's Express car wash locations across the country. This is a quickly growing operation with intentions to open or acquire 3-5 new locations per year through the launch of Tommy's Express Capital, a new private fund strategy.
Tommy Car Wash Systems ("TCWS") is the power behind our Tommy's Express equipment. TCWS is a team of passionate car wash professionals working to create opportunities for our partners to become the best car wash operators they can be. We provide modular building designs, robust stainless-steel car wash equipment, an advanced Wash Club license plate reader system, the Tommy Transporter belt, high performance wash detergents, and an industry-leading franchise opportunity. At Tommy Car Wash Systems, we have a solution for almost any size operator. Our team has assisted in the development of hundreds of some of the most successful car washes around the world. Together, Tommy's Express and Tommy Car Wash Systems make up the Tommy's Corporate brand, headquartered in Holland, MI.

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