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

Through custom underwater cameras, computer vision, and machine learning we are able to quantify ... The role As a Perception Engineer you will help develop and deploy next-generation sensing ...

Dataiku, AWS.) Strong programming skills in Python, Java or C, PySPARK Strong Data Analysis and ... Computer Vision, predictive modeling Impeccable analytical and problem-solving skills Extensive ...

Dataiku, AWS.) Strong programming skills in Python, Java or C, PySPARK Strong Data Analysis and ... Computer Vision, predictive modeling Impeccable analytical and problem-solving skills Extensive ...

Senior Machine Learning Engineer

Chicago, IL ยท 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 ...

Sr. AI/ML Engineer

Deerfield, IL ยท 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

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

Senior Database Engineer

Chicago, IL ยท On-site +1

$113K - $177K/yr

Senior Database Engineer will work closely with a multidisciplinary Agile team to build high ... Learn about machine learning, data science, computer vision, artificial intelligence, statistics ...

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

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 ...

... 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 ...

... computer vision systems deployed at customer gates that automatically identify trucks, capture ... Engineering LOCATION: United States (Remote) WHAT YOU GET TO DO: * Maintain end-to-end system ...

3D CAD Automation Engineer

Vernon Hills, IL ยท On-site

$80K - $100K/yr

Bachelor's degree in Engineering, Computer Science, or a related technical field (or equivalent ... Benefits include health care (medical, dental, vision) with coverage starting on first day of ...

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 ...

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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.

Perception Engineer

Aquabyte

Mundelein, IL โ€ข Hybrid

Full-time

Posted 25 days ago


Job description

Our mission
Aquabyte is on a mission to revolutionize the sustainability and efficiency of aquaculture. It is an audacious, and incredibly rewarding mission. By making fish farming more efficient and viable, we aim to promote healthy (for the fish and environment) production of low carbon protein and mitigate one of the biggest causes of climate change. Aquaculture is the single fastest growing food-production sector in the world, and now is the time to define how technology is used to harvest the sea and preserve it for generations to come.
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We are a diverse, mission-driven team that is eager to work alongside kindred spirits. If this vision inspires you please get in touch.
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Our product
We are currently focused on helping salmon farmers better understand their fish population and make environmentally sound decisions. Through custom underwater cameras, computer vision, and machine learning we are able to quantify fish weights, detect the health status, and generate optimal feeding plans in real time. Our product operates at three levels: on-site hardware for image capture, cloud pipelines for data processing, and a user-facing web application. As a result, there are hundreds of moving pieces and no shortage of fascinating challenges across all levels of the stack.
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Above all, Aquabyte is a customer-driven company. Our product development is dictated by the needs of fish farmers and we prioritize customer delight in everything we do. We are committed to building a global, collaborative team.
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The role
As a Perception Engineerย you will help develop and deploy next-generation sensing capabilities to fish farms across the world. While our current product utilizes underwater cameras and computer vision to quantify fish health and growth, we are expanding our sensor suite to create a comprehensive understanding of the underwater environment.
Key Responsibilities
  • Signal Processing: Design and implement algorithms to process raw sensor data, correcting for environmental attenuation, noise, and physical constraints
  • Sensor Fusion & Calibration: Develop techniques to fuse multi-modal sensor streams and perform precise sensor calibration to ensure data alignment and accuracy across the hardware stack
  • 3D Scene Reconstruction: Build pipelines that generate 3D representations of the environment from complex inputs
  • Feature Detection: Apply a combination of conventional and deep learning approaches to identify key features and objects within the sensor data
  • Production Engineering: Contribute to the production codebase, ensuring algorithms are scalable, robust, and well-tested in a primarily Python-based stack
Required Qualifications
  • Educational Background: BS/MS in Robotics, Computer Science, Electrical Engineering, or a relevant technical degree
  • Experience: 3+ years of experience in perception or signal processing
  • Technical Proficiency: Strong coding ability with a mastery of Python and experience with SQL
  • Domain Expertise: Demonstrated experience with sensor fusion, state estimation, or 3D computer vision (e.g., SLAM, structure-from-motion, or point cloud processing)
  • Engineering Best Practices: Strong software engineering skills, including knowledge of testing, version control, and deployment pipelines.
Bonus Qualifications
  • Experience processing underwater acoustics or sonar data
  • Familiarity with cloud data infrastructure (e.g., Snowflake, dbt, Airflow)
  • Experience with containerization (Docker) and cloud development (AWS).
Benefits
  • Competitive salary and equity
  • Unlimited vacation policy
  • Flexible working hours + hybrid work policy
  • Medical, vision, & dental insurance
  • Retirement matching plan
  • Potential travel to Norway
  • Evolve in a fast-paced environment
  • Be able to shape a business in its early days
  • Get ideas, feedback, and suggestions from other best-in-their-field colleagues
  • Mentorship opportunities, we'll be dedicated to investing in you and supporting you as you grow
Aquabyte takes a market-based approach to compensation. The pay varies on a variety of factors including: job-related qualification, years of experience and competence level, interview performance, and work location.
At Aquabyte, we admire interesting people with a unique background. We strongly encourage you to apply even if you donโ€™t satisfy all the requirements, and we will get back to you as soon as possible!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.