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Internship Full Stack Machine Learning Engineer Jobs in Wayland, MI

... based learning, code reviews, and incremental application building to support students from HTML beginners through advanced developers building production-ready full-stack web applications.

Apply machine learning and artificial intelligence to program field programmable gate arrays (FPGA). Develop detailed system block diagrams and wiring schematics for a variety of electronic ...

Apply machine learning and artificial intelligence to program field programmable gate arrays (FPGA). Develop detailed system block diagrams and wiring schematics for a variety of electronic ...

... years of software engineering and/or data science experience, including 3-5+ years in AI/ML ... Lead architecture for Generative AI, LLMs, and traditional machine learning models. * Design ...

... years of software engineering and/or data science experience, including 3 5+ years in AI/ML ... Lead architecture for Generative AI, LLMs, and traditional machine learning models. * Design ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

JavaScript Tutor

Kalamazoo, MI · Remote

$18 - $40/hr

... full-stack engineering coursework. * Conceptual Teaching & Problem-Solving: Skilled at breaking ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

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Internship Full Stack Machine Learning Engineer information

See Wayland, MI salary details

$41.8K

$126.5K

$178.9K

How much do internship full stack machine learning engineer jobs pay per year?

As of Jul 8, 2026, the average yearly pay for internship full stack machine learning engineer in Wayland, MI is $126,545.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,200.00 and $148,400.00 per year, depending on experience, location, and employer.

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

To succeed as an Internship Full Stack Machine Learning Engineer, you need a solid understanding of programming (Python, JavaScript), basic machine learning concepts, and foundational knowledge in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, web development tools (React, Node.js), and version control systems like Git is typically expected. Strong problem-solving abilities, collaboration skills, and a willingness to learn set exceptional interns apart. These skills enable interns to contribute effectively to both model development and deployment, bridging the gap between data science and software engineering in real-world applications.

What is an Internship Full Stack Machine Learning Engineer?

An Internship Full Stack Machine Learning Engineer is a student or early-career professional who supports both the development of machine learning models and the integration of these models into full-stack applications. This role typically involves working on data preprocessing, building and training machine learning algorithms, and deploying these models within web or mobile applications. Interns in this field gain experience in both backend and frontend technologies, as well as in machine learning frameworks and tools. The position is ideal for those seeking hands-on experience in applying AI solutions within real-world products.

What types of projects and responsibilities can I expect as an Internship Full Stack Machine Learning Engineer?

As an Internship Full Stack Machine Learning Engineer, you can expect to work on end-to-end machine learning projects that involve both model development and integration into web or cloud applications. This may include tasks like cleaning and preparing datasets, building and testing machine learning models, developing APIs to serve predictions, and collaborating with front-end developers to deliver user-facing features. Interns often work closely with data scientists, software engineers, and product managers, gaining exposure to the full development lifecycle. These experiences help build both technical and teamwork skills, laying a strong foundation for a future career in the field.

What is the difference between Internship Full Stack Machine Learning Engineer vs Software Developer Intern?

AspectInternship Full Stack Machine Learning EngineerSoftware Developer Intern
Required SkillsKnowledge of machine learning, programming (Python, JavaScript), full stack development, data handlingProficiency in programming languages (Java, Python, JavaScript), software development, basic algorithms
Work EnvironmentCollaborates on ML models, data pipelines, backend and frontend developmentFocuses on application development, coding, debugging, and testing
Industry UsageUsed in AI-driven companies, tech startups, data science teamsCommon in software firms, app development companies, tech startups

The Internship Full Stack Machine Learning Engineer role emphasizes working with machine learning models and data-driven applications, combining full stack development skills with AI expertise. In contrast, a Software Developer Intern focuses more on traditional software development tasks like coding and debugging. Both roles are valuable entry points in tech, but they target different skill sets and project types.

What cities near Wayland, MI are hiring for Internship Full Stack Machine Learning Engineer jobs? Cities near Wayland, MI with the most Internship Full Stack Machine Learning Engineer job openings:
Machine Vision Development Engineer I

Machine Vision Development Engineer I

Gentex Corporation

Zeeland, MI • On-site

Full-time

Posted 7 days ago


Gentex rating

7.6

Company rating: 7.6 out of 10

Based on 61 frontline employees who took The Breakroom Quiz

65th of 141 rated electronics manufacturers


Job description

Job Summary:
Gentex Corporation is a company driven by quality products across an evolving range of industries. The Machine Vision Development Engineer I will contribute to the development of machine vision systems to automate manufacturing processes and improve product quality as part of a collaborative engineering team.
Responsibilities:
• Assist in designing production vision systems, including the specification of imaging components, illumination, and PC hardware.
• Support development of machine vision algorithms for product quality inspection, process control, and manufacturing automation.
• Implement new features and fix bugs in production vision applications under the guidance of more senior engineers.
• Troubleshoot, debug, and upgrade existing vision systems to improve reliability and performance.
• Assist with the setup of prototype imaging systems in a laboratory environment and help qualify new on-line and off-line vision systems in production.
• Gather and document basic analytics from computer vision algorithms to support performance improvement activities.
• Write and maintain technical documentation so end users understand how vision systems work and how to use them.
• Collaborate with cross-functional team members, taking direction from leaders while learning Gentex engineering practices.
• Provide support during production vision system downtime and help resolve issues quickly to minimize impact to manufacturing operations.
• Other duties as assigned.
Qualifications:
Required:
• Bachelor’s of Science (B.S.) degree in Engineering, Science, or other related technical field.
• 0–3 years of engineering experience in a technical, scientific, or related field (co-op or internship experience may be included).
• Foundational knowledge of computer systems and technologies.
• Basic understanding of vision hardware, optics, and lighting.
• Experience with at least one modern programming language such as C# or Visual Basic .NET.
• Basic problem-solving skills and the ability to recognize issues and react quickly.
• Excellent verbal and written communication skills.
• Proficiency in Microsoft Office Suite.
Preferred:
• Master’s degree in Engineering, Science, or other related technical field.
• Ability to program in the .NET Framework (C#, C++, VB).
• Experience with MVTec Halcon, OpenCV, or another machine vision library.
• Knowledge of statistical analysis and its application to manufacturing data.
• Ability to quickly comprehend and apply new software development practices and machine vision technology.
• Mechanical aptitude and basic electronics knowledge.
• Experience with photography and optics.
• Demonstrated ability to fix a problem before it happens and a predisposition to get involved.
Company:
Gentex is a global, high technology electronics company that is managed by engineers and others who understand the freedom and discipline that's required to run an entrepreneurial company. Founded in 1974, the company is headquartered in Zeeland, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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