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Computer Vision Engineer Jobs in Illinois (NOW HIRING)

James Hardie

Sr AI Solution Engineer

Chicago, IL

$57 - $73.50/hr

... classification, computer vision). * Translate business requirements into scalable technical ... Work with data engineering teams to ensure robust data pipelines and features for AI models.

James Hardie

Sr AI Solution Engineer

Chicago, IL · On-site

$57 - $73.50/hr

... classification, computer vision). * Translate business requirements into scalable technical ... Work with data engineering teams to ensure robust data pipelines and features for AI models.

James Hardie

Sr AI Solution Engineer

Chicago, IL

$57 - $73.50/hr

... classification, computer vision). * Translate business requirements into scalable technical ... Work with data engineering teams to ensure robust data pipelines and features for AI models.

ONETRACK.AI

Field Project Engineer

Chicago, IL · Hybrid

Every team member is laser-focused on growing the value of our scalable computer vision platform ... As a Field Project Engineer at OneTrack.ai, you will be crucial in executing service projects in ...

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 ...

ONETRACK.AI

Field Project Engineer

Chicago, IL · On-site

Every team member is laser-focused on growing the value of our scalable computer vision platform ... As a Field Project Engineer at OneTrack.ai, you will be crucial in executing service projects in ...

ONETRACK.AI

Field Project Engineer

Chicago, IL · On-site

Every team member is laser-focused on growing the value of our scalable computer vision platform ... As a Field Project Engineer at OneTrack.ai, you will be crucial in executing service projects in ...

ARIS Technology

Robotics Engineer

Hinckley, IL · On-site

Daily collaboration with software engineers, metrology/vision engineers, customers, and vendors is ... Design and build end-of-arm tooling (EOAT) and end-effector components using CAD software, 3D ...

ARIS Technology

Robotics Engineer

Hinckley, IL

Daily collaboration with software engineers, metrology/vision engineers, customers, and vendors is ... Design and build end-of-arm tooling (EOAT) and end-effector components using CAD software, 3D ...

McMaster-Carr

Senior Software Engineer

Chicago, IL · On-site

$235K - $310K/yr

This role is a pathway to senior engineering management and technical leadership-your growth is ... RAG, Embeddings, Vectorization, Machine Learning, Computer Vision * Dev Tools : Swagger, Git

McMaster-Carr

Lead Software Engineer

Chicago, IL

$235K - $310K/yr

This role is a pathway to senior engineering management and technical leadership-your growth is ... RAG, Embeddings, Vectorization, Machine Learning, Computer Vision * Dev Tools : Swagger, Git

McMaster-Carr

Senior Software Engineer

Chicago, IL

$235K - $310K/yr

This role is a pathway to senior engineering management and technical leadership-your growth is ... RAG, Embeddings, Vectorization, Machine Learning, Computer Vision * Dev Tools : Swagger, Git

McMaster-Carr

Lead Software Engineer

Chicago, IL · On-site

$235K - $310K/yr

This role is a pathway to senior engineering management and technical leadership-your growth is ... RAG, Embeddings, Vectorization, Machine Learning, Computer Vision * Dev Tools : Swagger, Git

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Illinois

Computer Vision Engineer information

See Illinois salary details

$47K

$117.8K

$133.2K

How much do computer vision engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for computer vision engineer in Illinois is $117,751.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,000.00 and $127,400.00 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 the most commonly searched types of Computer Vision Engineer jobs in Illinois? The most popular types of Computer Vision Engineer jobs in Illinois are:
What are popular job titles related to Computer Vision Engineer jobs in Illinois? For Computer Vision Engineer jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in Illinois look for? The top searched job categories for Computer Vision Engineer jobs in Illinois are:
What cities in Illinois are hiring for Computer Vision Engineer jobs? Cities in Illinois with the most Computer Vision Engineer job openings:
Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Illinois as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $117,751 per year, or $56.6 per hour.
Sr AI Solution Engineer

Sr AI Solution Engineer

James Hardie

Chicago, IL

$57 - $73.50/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

James Hardie rating

8.2

Company rating: 8.2 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

84th of 527 rated manufacturers

Job description

James Hardie is the industry leader in exterior home and outdoor living solutions, with a portfolio that includes fiber cement, fiber gypsum, composite and PVC decking and railing products. Our family of trusted brands includes Hardie, TimberTech, AZEK Exteriors, Versatex, fermacell, and StruXure.
With over 8,000 employees and our U.S. operating entities headquartered in Chicago, we boast 31 operating sites, 6 recycling facilities, and 6 research and development centers globally. Powered by a dynamic workforce, we're united by our purpose of Building a Better Future for All through sustainable innovation, a Zero Harm culture, and a commitment to empowering our people and communities.
For more information, visit www.jameshardie.com.

Summary

The Senior Enterprise AI Solution Engineer supports the full lifecycle of AI solutions-from ideation to productionization-covering both Generative AI and Predictive AI use cases. This role focuses on implementing AI-powered solutions, integrating them into enterprise workflows, and ensuring operational reliability. This role reports directly to the Sr. Director of AI and supports AI solution engineering leader to implement enterprise AI solutions. 

What You'll Do:
  • Lead major AI capabilities throughout the end-to-end AI solution lifecycle-from ideation and prototyping through deployment and operationalization.
  • Design and implement solutions leveraging Generative AI (LLMs, text generation, RAG pipelines) and Predictive AI (forecasting, anomaly detection, classification, computer vision).
  • Translate business requirements into scalable technical capabilities, ensuring alignment with enterprise patterns and standards.
  • Develop APIs, microservices, and workflows to embed AI capabilities into production systems.
  • Work with data engineering teams to ensure robust data pipelines and features for AI models.
  • Optimize AI solutions for performance, cost, monitoring, and reliability in production environments.
  • Collaborate with business partners, engineering teams, and data scientists to iterate on high value use cases.
  • Communicate technical concepts to leadership and nontechnical stakeholders.
  • Participate in AI solution architecture design and contribute to cross functional architecture decisions.
  • Establish and follow best practices for model deployment, versioning, testing, and observability.
  • Contribute to ML Ops pipelines, CI/CD automation, and containerized deployments (Kubernetes, Docker).
  • Perform production support and troubleshooting for deployed AI services.
  • Mentor junior AI engineers and contribute to team knowledge sharing.
  • Support AI solution engineering leaders in establishing engineering standards and reusable patterns.
What You'll Bring:
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field required.
  • 6-8 years of experience in AI/ML engineering, data science, or software development (between junior 4+ and principal 8+).
  • Proficiency in Python and modern ML frameworks (TensorFlow, PyTorch).
  • Handson experience with cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes).
  • Experience building LLM based systems, RAG pipelines, or generative AI applications.
  • Understanding of data pipelines, APIs, microservices, and distributed systems.
  • Experience with ML Ops tools and practices (model registries, CI/CD, observability).
  • Strong problem solving skills with the ability to troubleshoot complex systems.
  • Excellent written and verbal communication skills.
  • Curiosity and commitment to staying current with emerging AI technologies.
What You'll Receive:

As of the date of this posting, a good faith estimate of the current pay scale for this position is $106,700K-$133,400K. Placement in the range depends on several factors such as experience, skills, geography and internal equity and may change over time. This position qualifies for benefits and you will be eligible to participate in a bonus plan.

At James Hardie, we recognize that our success depends on our people. We've worked hard to build a generous and competitive benefits program that demonstrates our commitment to our employees.

  • Compensation: competitive salary and bonus eligibility
  • Insurance: day-one health coverage medical, dental, vision, life insurance
  • Paid Time Off: vacation and company holidays
  • Retirement: 401(k) with 6% match
  • Investments: Employee Stock Purchase plan (ESP)
  • Work-Life Balance: parental leave, wellness programs
  • Purpose. Impact. Community: Sustainability Initiatives | James Hardie 

#LI-DW1

James Hardie Building Products Inc. is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, gender, sex, age, national origin, religion, sexual orientation, gender identity/expression, genetic information, veteran's status, marital status, pregnancy, disability, or any other basis protected by law.
James Hardie will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, in accordance with its plans and policies.
The position responsibilities outlined above are in no way to be construed as all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary.

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