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

Sr Engineering Manager

Chicago, IL ยท On-site

$205K - $240K/yr

We are seeking a Senior Engineering Manager to lead multiple engineering teams focused on applying ... Strong background in machine learning, computer vision, or geospatial AI systems. * Experience ...

Sr Engineering Manager

Chicago, IL ยท On-site +1

$205K - $240K/yr

We are seeking a Senior Engineering Manager to lead multiple engineering teams focused on applying ... Strong background in machine learning, computer vision, or geospatial AI systems. * Experience ...

Sr Engineering Manager

Chicago, IL ยท On-site +1

$205K - $240K/yr

We are seeking a Senior Engineering Manager to lead multiple engineering teams focused on applying ... Strong background in machine learning, computer vision, or geospatial AI systems. * Experience ...

CAD Programmer

Schaumburg, IL ยท 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 ...

The ideal candidate will possess a strong background in computer science, engineering, or a related field, with emphasis on computer vision and deep learning. The role involves designing and ...

The ideal candidate will possess a strong background in computer science, engineering, or a related field, with emphasis on computer vision and deep learning. The role involves designing and ...

The ideal candidate will possess a strong background in computer science, engineering, or a related field, with emphasis on computer vision and deep learning. The role involves designing and ...

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 ...

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.

Sr AI Solution Engineer

Chicago, IL ยท 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.

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.

AI Data Engineer - Manager

Chicago, IL ยท On-site

$118K - $141K/yr

AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the ... computer vision) and implement scalable AI solutions. Collaboration and Stakeholder Engagement

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 ...

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 ...

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

Computer Vision Engineer information

See Chicago, IL salary details

$50K

$125.2K

$141.6K

How much do computer vision engineer jobs pay per year?

As of Jun 7, 2026, the average yearly pay for computer vision engineer in Chicago, IL is $125,178.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,900.00 and $135,500.00 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.
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:
Infographic showing various Computer Vision Engineer job openings in Chicago, IL as of May 2026, with employment types broken down into 1% As Needed, 61% Full Time, 36% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $125,178 per year, or $60.2 per hour.

Sr Engineering Manager

HERE Technologies

Chicago, IL โ€ข On-site

$205K - $240K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Job description

What's the role?
The Mapmaking team sits at the heart of HERE's mission to create the world's most accurate, up-to-date, and intelligent maps. We design and operate scalable pipelines for onboarding massive datasets from customers and partners, while developing and optimizing geospatial processing services that transform raw map inputs into high-quality, production-ready products. Our work spans innovation in AI, big data, and algorithmic evolution to advance how maps are processed, validated, and enriched, supporting both large-scale customer programs with premium automotive brands and multi-industry partners, as well as internal transformation initiatives. The Mapmaking team builds and operates core technologies and services for onboarding, processing, and quality assuring digital map data.
We are seeking a Senior Engineering Manager to lead multiple engineering teams focused on applying AI and machine learning to the automated creation and improvement of HD and SD maps. This role is responsible for developing processes, platforms, and algorithms that extract structured map data from diverse sensor sources including satellite imagery, street-level imagery, radar, vehicle perception data, and LiDAR. The leader will drive the development and application of foundational models and scalable data pipelines that improve map quality, expand coverage, and reduce manual production effort.
Key Responsibilities
  • Lead and grow multiple engineering teams responsible for AI/ML-driven map feature extraction and derivation automation.
  • Define and execute technical strategy for applying machine learning and foundational models to map generation from multimodal sensor data.
  • Drive the development of scalable pipelines that convert raw sensor inputs (imagery, LiDAR, radar, vehicle perception data) into structured map features.
  • Partner with data science, platform, and product teams to operationalize machine learning models in large-scale production systems.
  • Establish engineering practices that improve reliability, throughput, and quality of automated map generation systems.
  • Prioritize and deliver initiatives that increase automation, improve map accuracy, and accelerate global map coverage.
  • Provide technical leadership and mentorship for engineering managers and senior engineers.
  • Align cross-team efforts across data ingestion, model training, model deployment, and validation pipelines.
  • Use data-driven metrics to measure improvements in model performance, automation levels, and map quality.

Who are you?
Qualifications
  • 10+ years of software engineering experience, including significant experience leading engineering teams.
  • Proven experience managing multiple teams or large engineering organizations.
  • Strong background in machine learning, computer vision, or geospatial AI systems.
  • Experience building large-scale data processing pipelines for multimodal sensor data.
  • Familiarity with technologies related to perception systems, remote sensing, or geospatial data processing.
  • Experience deploying ML models into production environments and operating them at scale.
  • Strong leadership, communication, and cross-functional collaboration skills.

Preferred Experience
  • Experience working with geospatial data, HD mapping, or autonomous driving datasets.
  • Familiarity with LiDAR processing, satellite imagery analysis, and computer vision techniques.
  • Experience with large-scale distributed systems and cloud-based ML infrastructure.
  • Background in developing or applying foundation models for perception or geospatial understanding.

The expected base salary range for this position is $205,000 to $240,000 per year. Actual compensation will be based on factors such as skills and experience.
This position is also eligible for a target annual performance bonus, which is subject to company and individual performance.
Life at HERE comes with generous benefits to support your health and overall wellness. Benefits available to US-based HERE employees include health (Medical/Dental/Vision) insurance, retirement savings plans, paid time off & leave policies.
Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, HERE will consider for employment qualified applicants with arrest and conviction records.
HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.
Under Section 503 of the Rehabilitation Act of 1973 and VEVRAA, we have developed an affirmative action program (AAP) for individuals with disabilities and protected veterans. Portions of the AAP are available for review by applicants and employees through our People Team.
#LI-AG3
Who are we?
HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes - from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely.
At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people's lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel.