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Computer Vision Engineer Jobs in Warren, MI (NOW HIRING)

Stellantis

Data & AI SCIENTIST

Auburn Hills, MI · On-site

... or Computer Vision is appreciated • Palantir Foundry platform • Microsoft PowerBI / Fabrics tool (incl. DAX programming language) • Deep learning frameworks (Pytorch, Tensorflow, ...) • ...

FastTek

Machine Learning Engineer

Dearborn, MI · On-site

$105K - $126K/yr

... computer vision, perception, localization, natural language processing, and conversational AI ... Senior Engineer Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang.; guides. * 10+ years in IT ...

FORVIA

AI Solutions Architect

Auburn Hills, MI · On-site

$59.50 - $78.50/hr

Required : • Bachelor's degree in Engineering, Computer Science, Information Technology, Data Science, or a related field • Experience implementing AI, machine learning, computer vision, or ...

Faurecia

AI Solutions Architect

Auburn Hills, MI · On-site

$59.50 - $78.50/hr

Required : • Bachelor's degree in Engineering, Computer Science, Information Technology, Data Science, or a related field • Experience implementing AI, machine learning, computer vision, or ...

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Warren, MI

Computer Vision Engineer information

See Warren, MI salary details

$45.6K

$114.1K

$129.1K

How much do computer vision engineer jobs pay per year?

As of Jul 11, 2026, the average yearly pay for computer vision engineer in Warren, MI is $114,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,700.00 and $123,500.00 per year, depending on experience, location, and employer.

What do computer vision engineers do?

Computer vision engineers develop algorithms and models that enable computers to interpret and analyze visual data such as images and videos. They often work with machine learning frameworks, programming languages like Python or C++, and tools such as OpenCV or TensorFlow to create applications in areas like object detection, facial recognition, and autonomous systems.

What engineers make $300,000 a year?

Senior computer vision engineers, especially those with advanced skills in deep learning, machine learning, and experience with tools like TensorFlow or PyTorch, can earn $300,000 or more annually in high-demand industries such as technology, autonomous vehicles, or AI research. Compensation often depends on experience, location, and company size, with some roles in Silicon Valley or major tech firms reaching this level through base salary, bonuses, and stock options.

What are Computer Vision Engineers?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

What are the key skills and qualifications needed to thrive as a Computer Vision Engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What engineer makes $500,000 a year?

A senior computer vision engineer at top tech companies or in specialized industries can earn $500,000 or more annually, often including bonuses and stock options. These roles typically require advanced skills in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong educational background and years of experience. Compensation varies based on location, company size, and individual expertise.

What Does a Computer Vision Engineer Do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are some common challenges faced by Computer Vision Engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

Will AI replace computer vision engineers?

AI is transforming the field of computer vision, but computer vision engineers are essential for developing, training, and maintaining AI models and systems. Their expertise in algorithms, programming, and domain knowledge ensures the effective application of AI in real-world scenarios, making complete replacement unlikely in the near term.
More about Computer Vision Engineer jobs
What are popular job titles related to Computer Vision Engineer jobs in Warren, MI? For Computer Vision Engineer jobs in Warren, MI, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in Warren, MI look for? The top searched job categories for Computer Vision Engineer jobs in Warren, MI are:
What cities near Warren, MI are hiring for Computer Vision Engineer jobs? Cities near Warren, MI with the most Computer Vision Engineer job openings:
Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Warren, MI as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $114,131 per year, or $54.9 per hour.
Data & AI SCIENTIST

Data & AI SCIENTIST

Stellantis

Auburn Hills, MI • On-site

Full-time

Re-posted 23 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 127 frontline employees who took The Breakroom Quiz

15th of 44 rated automakers

Job description

Job Summary:
Stellantis is a global automotive company seeking a Data & AI Scientist to develop advanced data use cases in their Global Supply Chain business domain. The role involves building predictive models, analyzing large datasets, and collaborating with various stakeholders to support business analytics initiatives.
Responsibilities:
• Merge large, complex data sets that meet business requirements
• Analyze large amounts of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
• Writing and refactoring the code into reusable libraries and API
• Support business analytics initiatives across SC departments
• Facilitate the internal and external data science & AI network
• Be a specialist on specific data science fields (e.g. NLP, Computer Vision, Time Series)
Qualifications:
Required:
• Master in Data Science / Computer Science
• 5 years of relevant experience (i.e. ICT and/or Supply Chain)
• Knowledge of at least one of some of the main Big Data frameworks and platforms: Spark, Databricks, Snowflake
• Strong programming skills in Python and SQL
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, …)
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, ...) and their real-world advantages/drawbacks
• Combination of business focus, analytical and problem-solving skills to quickly define a data-driven solution within different initiatives
• Ability to work within a team and with a proactive attitude
Preferred:
• PhD
• Experience in a multinational (global) work environment
• AI: mastery in one AI field such as Natural Language Processing or Computer Vision is appreciated
• Palantir Foundry platform
• Microsoft PowerBI / Fabrics tool (incl. DAX programming language)
• Deep learning frameworks (Pytorch, Tensorflow, …)
• Ability to communicate and summarize technical topics for non-technical audience (incl. leadership)
Company:
Our storied and iconic brands embody the passion of their visionary founders and today’s customers in their innovative products and services: they include Abarth, Alfa Romeo, Chrysler, Citroën, Dodge, DS Automobiles, Fiat, Jeep®, Lancia, Maserati, Opel, Peugeot, Ram, Vauxhall and mobility brands Free2move and Leasys. Founded in 2007, the company is headquartered in Turin, ITA, with a team of 10001+ employees. The company is currently Late Stage.

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