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

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 ...

New

reliance

CAD Programmer

Schaumburg, IL · On-site

$28/hr

The CAD Programmer reviews work orders and procedural manuals to determine critical dimensions of ... Medical, dental, and vision coverage with affordable employee contribution rates. * 401(k) plan ...

Veracity

AI / ML Engineering Senior Advisor

Deerfield, IL · On-site

$138K - $139K/yr

AI/ML Engineering Senior Advisor Job Location: Deerfield, IL (Hybrid - 3 days/week onsite ... Proven experience in Computer Vision tasks, including object detection, segmentation, and OCR

SynergisticIT

Entry level Java Developer

Evanston, IL · On-site

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

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 · 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.

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 ...

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Showing results 1-20

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

Computer Vision Engineer information

See Chicago, IL salary details

$50K

$125.3K

$141.8K

How much do computer vision engineer jobs pay per year?

As of Jul 1, 2026, the average yearly pay for computer vision engineer in Chicago, IL is $125,277.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $135,600.00 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 Chicago, IL? The most popular types of Computer Vision Engineer jobs in Chicago, IL are:
What are popular job titles related to Computer Vision Engineer jobs in Chicago, IL? For Computer Vision Engineer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in Chicago, IL look for? The top searched job categories for Computer Vision Engineer jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Computer Vision Engineer jobs? Cities near Chicago, IL with the most Computer Vision Engineer job openings:
Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Chicago, IL as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $125,277 per year, or $60.2 per hour.

AI Engineer

CP00001 Washington University in St Louis

Chicago, IL • Hybrid

$118K - $141K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago

Job description

HAVI is a global, privately owned company focused on innovating, optimizing and managing the supply chains of leading brands. Offering services in marketing analytics, packaging, supply chain management and logistics, HAVI partners with companies to address challenges big and small across the supply chain, from commodity to customer. Founded in 1974, HAVI employs more than 10,000 people and serves customers in more than 100 countries. For more information, please visit HAVI.com.

Overiew: 

Design, build, and deploy scalable product-ready artificial intelligence solutions to support our predictive and prescriptive analytics needs.  Act as a trusted partner and advisor to solutions architects and data scientists and become a crucial part of the analytics solution lifecycle - from prototype to production and operations of our data science and advanced analytics solutions in areas such as promotions, supply and demand planning, item/menu level analytics, supply chain simulations, and optimization, competitive benchmarking, and root cause analysis.  Continuously improve and advance our AI solutions, aligned with evolving industry best practices.

This is a hybrid role based at 345 N Morgan St, Chicago, IL 60607. Candidates must reside in the Chicago metropolitan area. Relocation assistance is not offered at this time.

Responsibilties: 

  • Responsible for working with the data management, data science, decision science, and technology teams to address supply chain data needs in demand and supply planning, replenishment, pricing, and optimization
  • Design and train machine learning (ML) and deep learning (DL) models
  • Select appropriate algorithms based on the problem (e.g., classification, regression, NLP, computer vision).
  • Collect, clean, and preprocess large datasets
  • Work with structured and unstructured data (text, images, audio, etc.).
  • Deploy models into production environments (e.g., using APIs, cloud platforms).
  • Monitor model performance and retrain as needed.
  • Stay updated with the latest AI research and tools.
  • Experiment with new architectures (e.g., transformers, GANs).
  • Translate business problems into AI solutions.
  • Use frameworks like TensorFlow, PyTorch, Scikit-learn.
  • Leverage cloud platforms (AWS, Azure, GCP) and MLOps tools (MLflow, Kubeflow).
  • Implement Agentic AI capability to drive efficiency and opportunity

Qualifications: 

  • Bachelor's degree in computer science, data science, information systems, information science or a related field; advanced degree in computer science, data science, information systems, information science or a related field preferred.
  • 2+ years hands-on Azure Databricks (PySpark/Scala, Spark SQL, Delta Lake)
  • Experience with Azure Data Factory for orchestration (pipelines, triggers, parameterization, IRs) and integration with ADLS Gen2, Key Vault.
  • Strong SQL expertise across large datasets; performance tuning (joins, partitions, file sizing).
  • Data quality at scale (e.g., Great Expectations/Deequ), monitoring and alerting; debug/backfill playbooks.
  • Experience with DevOps: Git branching, code reviews, unit/integration testing (pytest/dbx), CI/CD (Azure DevOps/GitHub Actions).
  • Infrastructure as Code (Terraform or Bicep) for Databricks workspaces, cluster policies, ADF, storage.
  • Observability & cost control: Azure Monitor/Log Analytics; cluster sizing, autoscaling, Photon; cost/perf trade-offs.
  • Proven experience collaborating with cross-functional stakeholders (analytics, data governance, product, security) to ship and support data products.
  • Certifications such as Microsoft Azure AI Engineer Associate, AWS Certified Machine Learning professional, or other AI/ML/cloud/MLOps certifications a plus

Dimensions & Stakeholders:

  • Content scope: AI Engineering, Data engineering, Agentic AI and automation, and ML/AI solution operationalization
  • Geographical Scope: Global
  • Stakeholders & Networks: Analytics and Insights, DevOps, Product Management, Technology
  • Working model: Individual contributor, collaborates with cross-functional team within global planning and analytics

Salary Range:

  • $105,000-$125,000 with a 5% targeted bonus  

Total Rewards:

Our total rewards philosophy integrates programs for compensation, benefits, recognition, learning and development, corporate culture, corporate citizenship and work-life balance. While individual program components may differ by country, some things remain constant:

  • Our commitment to rewarding results
  • Opportunities to work with talented and driven individuals at every level of our company who respect each other, treat each other fairly and hold one another accountable for our customers'-and our company's-success

There's more ...

Inclusive employee resource groups

Generous medical, dental, vision and other great benefits

Paid parental and medical leave programs

401(k) with a company match component and profit sharing

15 days of paid time off plus company holidays

Hybrid work model with flexibility

Tuition reimbursement and student loan repayment assistance

EQUAL OPPORTUNITY EMPLOYER

We are an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

RECRUITING AGENCIES

HAVI does not accept agency resumes submitted by third-party vendors unless a valid agreement has been signed and the HAVI Talent Acquisition Team has granted authorization for submissions for a specified position. Please do not submit or forward resumes to our site, HAVI employees, or any other company location. HAVI is not responsible for any fees related to unsolicited resumes.

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