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

SupportFinity™

Data & AI SCIENTIST

Auburn Hills, MI · On-site

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)

Whisker

Firmware Engineer

Auburn Hills, MI · On-site

What You'll Do : The Lead Engineer drives embedded development of advanced motor control and ... Experience conceptualizing, developing, and deploying Machine Learning (ML) and Computer Vision (CV ...

Woven by Toyota

Lead Perception Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

... from 3D geometric computer vision and perception to prediction, motion planning, and safe ... We are seeking a Lead Engineer to report to the Global Head of World Understanding to drive the ...

Woven by Toyota

Lead Perception Engineer

Ann Arbor, MI

$100K - $132K/yr

... from 3D geometric computer vision and perception to prediction, motion planning, and safe ... We are seeking a Lead Engineer to report to the Global Head of World Understanding to drive the ...

Woven by Toyota

Lead Perception Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

... from 3D geometric computer vision and perception to prediction, motion planning, and safe ... We are seeking a Lead Engineer to report to the Global Head of World Understanding to drive the ...

Whisker

Firmware Engineer

Auburn Hills, MI · On-site

What You'll Do : The Lead Engineer drives embedded development of advanced motor control and ... Experience conceptualizing, developing, and deploying Machine Learning (ML) and Computer Vision (CV ...

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

Computer Vision Engineer information

See Dearborn, MI salary details

$44.6K

$111.6K

$126.3K

How much do computer vision engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for computer vision engineer in Dearborn, MI is $111,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,400.00 and $120,800.00 per year, depending on experience, location, and employer.

What is a computer vision engineer?

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 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 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 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.

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.

More about Computer Vision Engineer jobs

What are the most commonly searched types of Computer Vision Engineer jobs in Dearborn, MI?

The most popular types of Computer Vision Engineer jobs in Dearborn, MI are:

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

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The top searched job categories for Computer Vision Engineer jobs in Dearborn, MI are:

What cities near Dearborn, MI are hiring for Computer Vision Engineer jobs?

Cities near Dearborn, MI with the most Computer Vision Engineer job openings:

Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Dearborn, MI as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 19% Part Time, and 6% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $111,638 per year, or $53.7 per hour.

SwaaP Controls Engineer (PP)

Auburn Hills, MI • Hybrid

Nexteer Automotive Corporation
Motor Vehicle Manufacturing • 1 - 5K employees
Learn more about Nexteer Automotive Corporationexternal

$82K - $106K/yr

Full-time

Posted 25 days ago

Nexteer Automotive rating

6.4

Company rating: 6.4 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

Job description

EMPLOYER: Nexteer Automotive Corporation

 

POSITION TITLE: SwaaP Controls Engineer

HOURS / WEEK: 40

JOB SITE LOCATION: 1272 Doris Road, Auburn Hills, MI 48326 

DUTIES: Nexteer Automotive Corporation seeks a SwaaP Controls Engineer based out of our office at 1272 Doris Road, Auburn Hills, MI 48326. This is a hybrid position whereby the employee will work both from home and from the aforementioned office address. Hence, the employee must live within a reasonable commuting distance of the aforementioned office address. This position does not require travel.

Develop Controls algorithms based on Predicting Driver intent. Develop the Predictive information algorithm based on Cloud data from other vehicles. Develop Arbitration algorithm between Driver inputs and Machine inputs (coming from environmental sensors: radars, camera, weather maps etc.). Integrate Lateral control algorithms (steering) with Longitudinal control algorithms (brake / throttle). Facilitate Data analysis and tools development for visualization and calibration of such algorithms. Perform Simulation to predict/analyze performance and bench testing together with in-vehicle development. Provide technical leadership for projects incorporating complex electromechanical ("Mechatronic") systems. Help in development of ADAS functions, diagnoses and corrects deficiencies in designs and prototypes. Use rapid prototyping tools for system development. Perform Simulation and Analysis of Dynamic Systems. Closed Loop Controls Algorithms for such Systems. Stay abreast of new ADAS technology, sensors, functions, etc.

MINIMUM REQUIREMENTS: Masters Degree (or foreign academic equivalent) in Mechanical Engineering, Electrical Engineering, or Automotive Systems, or a related field. Experience must include: Experience with, gained through either employment or schooling: Signal Analysis, such as Frequency Analysis & Fourier Transforms, in Control Systems; Stability Analysis in Control Systems; Vehicle Chassis Design & Dynamics (CarSim); Automotive Powertrain Design; Computer Vision; Hybrid Electric Powertrain Theory; MATLAB & Simulink Software; Path Planning Algorithms; Automotive System Integration of Mechanical, Electrical, Electronic, and Software components; Algorithm Deployment to Embedded Systems; Simulation Programs to Test Algorithms, Model Sensors, and Create Physics-Based Interactions.

 

OTHER: This position does not require travel. Hybrid position.

If offered employment must have legal right to work in U.S. 

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