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Computer Vision Engineer Jobs in Elgin, IL (NOW HIRING)

NAVA Software Solutions

Sr. AI/ML Engineer

Deerfield, IL · On-site

$106K - $145K/yr

AI/ML Engineer Senior Advisor Location: Chicago IL -Hybrid - 3 days/week onsite Duration: 6-12 ... Proven experience in Computer Vision tasks, including object detection, segmentation, and OCR

Baxter & Woodman

Digital Water Engineer I

Chicago, IL · On-site

$74K - $90K/yr

Digital Water Engineer I Location Options: Crystal Lake, Chicago, Naperville, Bannockburn, or ... Foundational knowledge or interest in artificial intelligence, machine learning, computer vision ...

Resource Point LLC

AI/ML Engineer

Chicago, IL · On-site

Position: AI/ML Engineer Duration: 12 months Location: Chicago, IL An AI/ML Engineer designs ... Deep understanding of machine learning, deep learning, data mining, algorithms, and computer vision

Reconstruct

Mobile App Developer

Chicago, IL · On-site

Mobile App Developer position How often do you get the chance to make a global impact developing ... Reconstruct's Visual Command Center (VCC) uses AI and Machine Learning inside of computer vision to ...

viaPhoton

Electrical Automation Engineer

Chicago, IL

Develop and deploy computer vision systems for real-time applications, including camera calibration, lighting, and micron-level resolution * Collaborate across engineering, operations, and production ...

viaPhoton

Electrical Automation Engineer

Naperville, IL · On-site

Develop and deploy computer vision systems for real-time applications, including camera calibration, lighting, and micron-level resolution * Collaborate across engineering, operations, and production ...

ATLAS ENGINEERING GROUP

CAD MANAGER

Deerfield, IL · On-site

The CAD Manager will partner with civil and structural project managers, project engineers ... Dental Insurance, Vision, Life Insurance, Short-Term, and Long-Term Disability * HSA & FSA ...

Shure

Engineer II, Software

Niles, IL · On-site

$98K - $134K/yr

Working knowledge of signal processing, computer vision, and machine learning * Experience with any ... GPU programming * Hardware deep learning accelerators Applicants for this position must be ...

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Elgin, IL

Computer Vision Engineer information

See Elgin, IL salary details

$47.9K

$120.1K

$135.9K

How much do computer vision engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for computer vision engineer in Elgin, IL is $120,119.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,200.00 and $130,000.00 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

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The most popular types of Computer Vision Engineer jobs in Elgin, IL are:

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For Computer Vision Engineer jobs in Elgin, IL, the most frequently searched job titles are:

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What cities near Elgin, IL are hiring for Computer Vision Engineer jobs?

Cities near Elgin, IL with the most Computer Vision Engineer job openings:

Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Elgin, IL as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $120,119 per year, or $57.7 per hour.

Senior Computer Vision Engineer

Mundelein, IL • On-site

Brahma Consulting Group
Recruiting and Staffing Services • 11 - 50 employees
Learn more about Brahma Consulting Groupexternal

$106K - $146K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

About the Role:

We’re partnering with a fast-scaling startup in SF that is fundamentally changing how physical materials are tracked and measured using real-time 3D computer vision.

If you're passionate about bringing SOTA 3D vision algorithms out of the research lab and into high-impact, real-world industrial environments, this role gives you full ownership over the core perception engine.


They are looking for an experienced Senior Computer Vision / Perception ML Engineer to own the perception engine that converts raw stereo camera captures into accurate, production-grade 3D measurements for industrial applications.


This role sits directly at the core of our tech stack. You will be responsible for taking complex research pipelines—covering stereo reconstruction, point-cloud cleanup, depth estimation, and 3D volumetric metrics—and turning them into robust, production-ready algorithms.


What You Will Own

  • The core end-to-end CV/ML pipeline: stereo reconstruction, point-cloud processing, segmentation, ground-plane estimation, stitching, and volume calculation.
  • Model integration using SOTA architectures (FoundationStereo, YOLO-style models, s2m2).
  • System calibration, confidence metrics, failure-mode analysis, and 3D reconstruction quality.
  • Bridging the gap between prototype research and deployable, real-world sensor performance.


What We’re Looking For

  • Experience: 4+ years of hands-on experience in computer vision, robotics perception, or ML engineering.
  • 3D Vision Focus: Deep expertise in 3D geometry, camera calibration, stereo/depth estimation, point clouds, and segmentation.
  • Core Tech Stack: Proficient in Python, PyTorch, OpenCV, and Open3D.
  • Real-World Engineering: Proven track record of debugging noisy sensor data and shipping CV systems in real-world environments.
  • Education: MS or PhD in Computer Vision, Robotics, or a related field preferred.


Nice-to-Haves

  • Hands-on experience with CUDA, SLAM, photogrammetry, or geospatial/volumetric measurement.
  • Experience with cloud GPU infrastructure (e.g., Modal).
  • Prior perception experience in robotics, autonomous vehicles, or industrial inspection.


Apply