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Entry Level Computer Vision Engineer Jobs in Novi, MI

The role requires a basic understanding of computer vision and machine learning technologies ... Knowledge of Python programming languages is expected. Additionally, knowledge of relevant ...

R&D- Computer Vision Engineering Intern

Troy, MI · On-site

$16 - $20.50/hr

The role requires a basic understanding of computer vision and machine learning technologies ... Knowledge of Python programming languages is expected. Additionally, knowledge of relevant ...

Factory Controls Engineer

Sterling Heights, MI · On-site

$78K - $101K/yr

Controls Engineer working in OEM Manufacturing Plant as a Controls Engineer. We believe our ... Robotics, Computer Vision Experience Required: * 5+ yrs of related experience * Ability to work ...

Factory Controls Engineer

Sterling Heights, MI · On-site

$78K - $101K/yr

Controls Engineer working in OEM Manufacturing Plant as a Controls Engineer. We believe our ... Robotics, Computer Vision Experience Required: * 5+ yrs of related experience * Ability to work ...

... for engineering changes and improvements Maintain program backups for machinery and automation ... Computer Vision Experience Required * 5+ yrs of related experience * Ability to work with UAW ...

Be Seen First

Manufacturing Controls Engineer * Develop and implement improvements to control systems and ... Robotics, Computer Vision Experience Required: * Education: High School Diploma * Experience: 5+ ...

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Entry Level Computer Vision Engineer information

See Novi, MI salary details

$45.5K

$114K

$129K

How much do entry level computer vision engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for entry level computer vision engineer in Novi, MI is $114,005.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,600.00 and $123,400.00 per year, depending on experience, location, and employer.

What does an entry level computer vision engineer do?

An Entry Level Computer Vision Engineer assists in developing computer systems that can interpret and process visual information from the world, such as images and videos. They typically work with machine learning algorithms, neural networks, and image processing techniques to solve problems like object detection, facial recognition, and image classification. Their work often involves data annotation, model training, testing, and optimizing algorithms under the guidance of senior engineers. Entry level engineers usually have a background in computer science or related fields and are familiar with programming languages such as Python and libraries like OpenCV and TensorFlow.

What types of projects do entry level computer vision engineers typically work on, and how much collaboration is involved?

Entry level computer vision engineers often work on tasks like annotating datasets, developing and testing algorithms for image or video analysis, and supporting the integration of computer vision models into existing applications. These projects usually require close collaboration with data scientists, senior engineers, and sometimes product managers to ensure models meet performance requirements. It's common to participate in code reviews and team meetings, fostering a supportive learning environment. As you gain experience, you'll likely take on more complex responsibilities and contribute to larger project components.

What are the key skills and qualifications needed to thrive as an entry level computer vision engineer, and why are they important?

To thrive as an Entry Level Computer Vision Engineer, you need a solid background in computer science, mathematics, and image processing, often supported by a relevant degree. Familiarity with programming languages like Python or C++, experience with deep learning frameworks (such as TensorFlow or PyTorch), and knowledge of OpenCV are typically required. Strong problem-solving abilities, attention to detail, and effective teamwork set top candidates apart. These skills and tools are essential for developing, optimizing, and implementing computer vision solutions in real-world applications.

What is the difference between Entry Level Computer Vision Engineer vs Computer Vision Analyst?

AspectEntry Level Computer Vision EngineerComputer Vision Analyst
Required CredentialsBachelor's in CS, Electrical Engineering, or related; knowledge of ML and CV frameworksBachelor's in CS, Data Science, or related; strong analytical skills
Work EnvironmentTech companies, R&D labs, startups; focus on developing algorithms and modelsData analysis teams, research firms; focus on interpreting CV data and insights
Employer & Industry UsageTech, automotive, robotics, healthcareMarket research, consulting, security, and surveillance

Entry Level Computer Vision Engineers focus on developing and implementing computer vision algorithms, often working in R&D or product teams. In contrast, Computer Vision Analysts primarily interpret and analyze CV data to generate insights. Both roles require a strong technical background, but their daily tasks and industry applications differ.

What are popular job titles related to Entry Level Computer Vision Engineer jobs in Novi, MI?

For Entry Level Computer Vision Engineer jobs in Novi, MI, the most frequently searched job titles are:

What job categories do people searching Entry Level Computer Vision Engineer jobs in Novi, MI look for?

The top searched job categories for Entry Level Computer Vision Engineer jobs in Novi, MI are:

Infographic showing various Entry Level Computer Vision Engineer job openings in Novi, MI as of July 2026, with employment types broken down into 100% Full Time. Highlights an 59% In-person, and 41% Remote job distribution, with an average salary of $114,005 per year, or $54.8 per hour.

R&D- Computer Vision Engineering Intern

Magna

Troy, MI

$16 - $20.50/hr

Full-time

Re-posted 2 days ago


Job description

Job descriptions may display in multiple languagesbased on your language selection.

What we offer:
At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.
Group Summary:
Magna is more than one of the world's largest suppliers in the automotive space. We are a mobility technology company built to innovate, with a global, entrepreneurial-minded team. With 65+ years of expertise, our ecosystem of interconnected products combined with our complete vehicle expertise uniquely positions us to advance mobility in an expanded transportation landscape.

Job Responsibilities:

POSITION OVERVIEW

We are seeking a motivated intern to join our team. The role requires a basic understanding of computer vision and machine learning technologies, especially for industrial applications like defect detection, 3D reconstruction, quality assurance, and process optimization. Knowledge of Python programming languages is expected. Additionally, knowledge of relevant mathematics, statistics, machine learning techniques, data pipelines, and software development workflows is essential.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

The candidate will:

Perform and present data analysis results based on requests of supervisors.

Create data/machine learning pipeline in one of the popular cloud platforms.

Participate in development and improvement of a software solution.

Test and evaluate the developed solutions.

QUALIFICATIONS:

Co-op student of mechanical engineering, electrical engineering, or computer engineering/science, or equivalent engineering, math or science discipline.

Strong Python programming experience is required.

Familiarity with Deep Learning (TensorFlow or PyTorch) required

Familiarity with cloud platforms preferred.

Experience with software development process preferred.

Experience in computer vision tasks like image classification, object detection, or semantic segmentation, 3D reconstruction is a plus.

Experience with ROS2 preferred.

EDUCATION / EXPERIENCE

Currently attending University (min. 3rd year), seeking co-op year

SPECIAL KNOWLEDGE / SKILLS:

Strong technical and analytical skills.

Ability to work on complex engineering systems with creative ways.

Proficient in Microsoft Office Products (Excel, Word, Power Point)

Professional Communication skills (written and verbal).

PHYSICAL DEMANDS / WORK ENVIRONMENT:

Normal amount of sitting or standing, average mobility to move around an office environment, able to conduct normal amount of work at a computer.

The candidate may be exposed to the automotive manufacturing environment.

Awareness, Unity, Empowerment:

At Magna, we believe that a diverse workforce is critical to our success. That's why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.


AI-Assisted Screening Disclosure

As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.


Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.

If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.

Worker Type:
Student / Co-Op
Group:
Magna Corporate