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

Career Renew

Senior Machine Learning Engineer

Chicago, IL · Remote

$165K - $225K/yr

Design and implement novel computer vision and deep learning algorithms for virtual staining and ... Knowledge of software engineering best practices including version control (Git) and CI/CD ...

Baxter & Woodman

Digital Water Engineer I

Chicago, IL

$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

Software Engineer - SaaS Platform

Chicago, IL · On-site

Software Engineer SaaS Platform 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 ...

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UVeye

Field Service Engineer IL

Elk Grove Village, IL · On-site +1

$32 - $38/hr

... of computer vision, machine learning, and generative AI within the automotive sector. With over ... We're looking for a Field Service Engineer to join our growing US Operations Team. In this hands-on ...

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

Mechanical Automation Engineer

Naperville, IL · On-site

Experience developing and deploying computer vision systems for real-time applications, including ... Programming: Python, C/C++, PLC ladder logic (Siemens, Allen Bradley), HMI development * Motion ...

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SynergisticIT

Python/R Programmer

Chicago, IL · On-site

We are continuously looking for entry-level software programmers, Java full stack developers ... computer vision, data visualization tools. Candidates lacking technical skills can research our ...

SynergisticIT

Python Programmer - Entry

Chicago, IL · On-site

... Computer Vision, data visualization tools Excellent written and verbal communication skills ... Computer Engineering, Electrical Engineering, Information Systems, IT Highly motivated, self ...

viaPhoton

Electrical Automation Engineer

Aurora, 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 ...

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

Computer Vision Engineer information

See Naperville, IL salary details

$48.4K

$121.3K

$137.3K

How much do computer vision engineer jobs pay per year?

As of Jul 1, 2026, the average yearly pay for computer vision engineer in Naperville, IL is $121,334.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $131,300.00 per year, depending on experience, location, and employer.

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 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.
More about Computer Vision Engineer jobs
What are the most commonly searched types of Computer Vision Engineer jobs in Naperville, IL? The most popular types of Computer Vision Engineer jobs in Naperville, IL are:
What are popular job titles related to Computer Vision Engineer jobs in Naperville, IL? For Computer Vision Engineer jobs in Naperville, IL, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in Naperville, IL look for? The top searched job categories for Computer Vision Engineer jobs in Naperville, IL are:
What cities near Naperville, IL are hiring for Computer Vision Engineer jobs? Cities near Naperville, IL with the most Computer Vision Engineer job openings:
Computer Vision Engineer jobs near you
Staff Software Engineer, Machine Learning (Computer Vision)

Staff Software Engineer, Machine Learning (Computer Vision)

DeepWalk Research, Inc

Chicago, IL • On-site

$150K - $190K/yr

Full-time

Medical, Retirement, PTO

Posted 9 days ago

Key responsibilities

  • Own the lifecycle of computer vision models, including training, evaluation, deployment, and iteration.

  • Design and improve data pipelines that process thousands of miles of sidewalks and millions of images.

  • Lead architectural decisions for handling geospatial and visual data, including storage layout, pipeline reliability, and inference performance.

Job description

About DeepWalk
DeepWalk is a fast-growing venture that helps cities keep people safe using computer vision to map and monitor their sidewalks. We have ongoing contracts with cities, universities, and engineering firms.
In the past year, we've processed thousands of miles of sidewalk across 20+ states, generating millions of labeled data points used in real-world infrastructure decisions. We've raised $4.1M, recently closed a $2.1M seed round led by Enable Ventures, and we currently generate 7-figure revenue helping communities across America.
Staff Software Engineer - Computer Vision Platform
$150,000 - $190,000 base salary + equity • Hybrid (Chicago)
We're hiring a Staff Software Engineer to lead the technical direction of DeepWalk's computer vision platform for automated sidewalk inspection. This role is focused on tackling high-impact, open-ended problems around large-scale imagery, production ML systems, and data pipelines that handle hundreds of terabytes of data. We're specifically looking for engineers who have built and operated computer vision or ML systems in production at scale (not just research or prototyping).
You'll play a key role in how we process, analyze, and deliver insights from millions of images, supporting cities as they work to build safer, more accessible infrastructure.
In this role, you'll work closely with a handful of experienced engineers, help set technical direction, and establish patterns the team can scale with.
Our core stack today includes Python-based CV/ML systems running on AWS, with data pipelines and services designed to handle large volumes of imagery and geospatial data.
What You'll Do
As a Staff Engineer at DeepWalk, you'll have significant ownership over both the systems we build and how we build them. You will...
  • Own the lifecycle of our computer vision models, including training, evaluation, deployment, and iteration
  • Improve model performance in real-world conditions (noise, edge cases, data drift)
  • Design and improve data pipelines that process thousands of miles of sidewalks and millions of images
  • Lead architectural decisions for handling hundreds of terabytes of geospatial and visual data, including storage layout, pipeline reliability, and inference performance
  • Set and evolve best practices around deployment, observability, system reliability, and scalability
  • Act as a senior individual contributor and mentor, helping raise the technical bar across the engineering team
  • Work closely with the CEO and operations team to turn business needs into clear technical priorities

What Success Looks Like (First 3-6 Months)
  • Build a strong understanding of our current computer vision systems and data pipelines
  • Identify the biggest scaling, reliability, and maintainability gaps as we grow
  • Propose and begin executing on a clear plan to improve how we deploy, monitor, and operate production ML systems
  • Become a trusted technical partner to leadership

What We're Looking For
Required
  • 6+ years of experience, including direct ownership of production ML or computer vision systems (training, deployment, and ongoing operation)
    Experience taking models from training → production → monitoring → iteration in a real-world environment
  • Experience owning system architecture and influencing technical decisions across teams
  • Experience deploying computer vision or ML systems in real-world production environments
  • Fluency in at least one modern backend language (Python, Java, TypeScript, Go, etc.)
  • Strong understanding of system design, scalability, and distributed systems
  • Experience with cloud platforms such as AWS, GCP, or Azure
  • Comfort working in a startup or growth-stage environment with changing requirements

Nice to Have
  • Experience with large-scale or real-time data pipelines
  • Infrastructure-as-Code experience (Terraform, CDK, etc.)
  • ML observability, data validation, or model deployment experience
  • Familiarity with geospatial, imagery, or sensor-driven data
  • An interest in urban planning, accessibility, or civic technology

Compensation & Benefits
  • $150,000 - $190,000 base salary, based on scope and experience
  • Equity
  • Unlimited PTO (most of our team takes 3-4 weeks per year)
  • Health insurance
  • 401(k) with ~4% match (100% on first 3%, 50% on the next 2%)
  • Convenient office location in The Loop
  • Hybrid work environment (typically 2 days in-office)

DeepWalk participates in the federal E-Verify program to confirm the employment eligibility of all newly hired employees.
DeepWalk is an Equal Opportunity Employer and is committed to building a diverse and inclusive workplace. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected status.
In accordance with applicable laws, DeepWalk provides equal pay for equal work and complies with all federal, state, and local pay transparency and compensation requirements.

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