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Entry Level Computer Vision Engineer Jobs in Chicago, IL

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

Pacer Group

CAD Operator 1

Naperville, IL · On-site

$29/hr

... vision), a 401(k)-retirement plan, and paid sick leave, in accordance with applicable federal ... Job Summary: * The CAD Technician I is an entry level drafter responsible for producing ...

Loadsmart

Senior Embedded Systems Engineer

Chicago, IL · On-site +1

... 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 ...

Reid Agency

Entry Level Sales Rep

Chicago, IL · Remote

$500 - $30K/wk

As an Entry Level Sales Rep, you will be responsible for utilizing your computer skills to ... Vision group plans available Employment Type: FULL_TIME

Reid Agency

Entry Level Sales Rep

Chicago, IL · On-site

$500 - $30K/wk

As an Entry Level Sales Rep, you will be responsible for utilizing your computer skills to ... Vision group plans available Powered by ExactHire:195406

Parkson Corp.

3D CAD Automation Engineer

Vernon Hills, IL · 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 ...

KEYENCE

Field Engineer

Itasca, IL · On-site

$68.01K/yr

Join KEYENCE as an Entry-Level Field Engineer Location: KEYENCE Engineering Services Facility ... Computer skills: Microsoft Office (Outlook, Word) and custom software for product interface * Valid ...

Keyence Corporation

Field Engineer

Itasca, IL · On-site

$68.01K/yr

Join KEYENCE as an Entry-Level Field Engineer Location: KEYENCE Engineering Services Facility ... Computer skills: Microsoft Office (Outlook, Word) and custom software for product interface * Valid ...

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 ...

langan

Civil Engineer - Entry Level

Chicago, IL · On-site

$65K - $84.50K/yr

Langan provides expert land development engineering and environmental consulting services for major ... vision coverage; life insurance, short- and long-term disability insurance, and paid pregnancy ...

langan

Civil Engineer - Entry Level

Chicago, IL

$65K - $84.50K/yr

Langan provides expert land development engineering and environmental consulting services for major ... vision coverage; life insurance, short- and long-term disability insurance, and paid pregnancy ...

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All JobsComputer Vision Engineer JobsEntry Level Computer Vision Engineer JobsEntry Level Computer Vision Engineer Jobs in Chicago, IL

Entry Level Computer Vision Engineer information

See Chicago, IL salary details

$50K

$125.2K

$141.6K

How much do entry level computer vision engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for entry level 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 the key skills and qualifications needed to thrive as an Entry Level Computer Vision Engineer, and why are they important?

To thrive as an Entry Level Computer Vision Engineer, you need a solid background in computer science, mathematics, and image processing, often supported by a relevant degree. Familiarity with programming languages like Python or C++, experience with deep learning frameworks (such as TensorFlow or PyTorch), and knowledge of OpenCV are typically required. Strong problem-solving abilities, attention to detail, and effective teamwork set top candidates apart. These skills and tools are essential for developing, optimizing, and implementing computer vision solutions in real-world applications.

What types of projects do entry level computer vision engineers typically work on, and how much collaboration is involved?

Entry level computer vision engineers often work on tasks like annotating datasets, developing and testing algorithms for image or video analysis, and supporting the integration of computer vision models into existing applications. These projects usually require close collaboration with data scientists, senior engineers, and sometimes product managers to ensure models meet performance requirements. It's common to participate in code reviews and team meetings, fostering a supportive learning environment. As you gain experience, you'll likely take on more complex responsibilities and contribute to larger project components.

What does an Entry Level Computer Vision Engineer do?

An Entry Level Computer Vision Engineer assists in developing computer systems that can interpret and process visual information from the world, such as images and videos. They typically work with machine learning algorithms, neural networks, and image processing techniques to solve problems like object detection, facial recognition, and image classification. Their work often involves data annotation, model training, testing, and optimizing algorithms under the guidance of senior engineers. Entry level engineers usually have a background in computer science or related fields and are familiar with programming languages such as Python and libraries like OpenCV and TensorFlow.

What is the difference between Entry Level Computer Vision Engineer vs Computer Vision Analyst?

AspectEntry Level Computer Vision EngineerComputer Vision Analyst
Required CredentialsBachelor's in CS, Electrical Engineering, or related; knowledge of ML and CV frameworksBachelor's in CS, Data Science, or related; strong analytical skills
Work EnvironmentTech companies, R&D labs, startups; focus on developing algorithms and modelsData analysis teams, research firms; focus on interpreting CV data and insights
Employer & Industry UsageTech, automotive, robotics, healthcareMarket research, consulting, security, and surveillance

Entry Level Computer Vision Engineers focus on developing and implementing computer vision algorithms, often working in R&D or product teams. In contrast, Computer Vision Analysts primarily interpret and analyze CV data to generate insights. Both roles require a strong technical background, but their daily tasks and industry applications differ.

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 Entry Level Computer Vision Engineer jobs in Chicago, IL? For Entry Level Computer Vision Engineer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Vision Engineer jobs in Chicago, IL look for? The top searched job categories for Entry Level Computer Vision Engineer jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Entry Level Computer Vision Engineer jobs? Cities near Chicago, IL with the most Entry Level Computer Vision Engineer job openings:
Entry Level Computer Vision Engineer jobs near you
Infographic showing various Entry Level Computer Vision Engineer job openings in Chicago, IL as of May 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 100% In-person job distribution, with an average salary of $125,178 per year, or $60.2 per hour.
AI/ML Engineer

AI/ML Engineer

Resource Point LLC

Chicago, IL • On-site

Contractor

Posted 25 days ago

Job description

Position: AI/ML Engineer

Duration: 12 months

Location: Chicago, IL

Job Description

An AI/ML Engineer designs, develops, and deploys production-ready artificial intelligence and machine learning models and systems, managing data pipelines, running experiments, and training models using programming languages like Python and frameworks such as TensorFlow and PyTorch. This role requires strong technical skills in machine learning, programming, and algorithms, as well as effective collaboration with data scientists, software developers, and business stakeholders to align AI solutions with organizational goals.

Key Responsibilities

  • Model Development: Research, design, and implement machine learning algorithms and applications to solve business problems.
  • Data Pipeline Management: Build and manage scalable data pipelines for preprocessing, feature engineering, and data flow to train and evaluate ML models.
  • Model Training and Deployment: Train, test, and tune machine learning models, ensuring they meet quality standards and deploying them into production environments.
  • Performance Monitoring and Optimization: Monitor the performance of trained models, retrain them as needed, and optimize them for better performance.
  • Collaboration: Work with cross-functional teams, including data scientists, software engineers, and product managers, to integrate AI into applications and achieve project goals.
  • Stay Updated: Keep abreast of emerging AI and machine learning technologies and best practices to enhance institutional capabilities.

Required Skills & Qualifications

  • Programming Languages: Proficiency in Python, Java, or R, Golang
  • Machine Learning Frameworks: Expertise in tools and libraries like TensorFlow, PyTorch, and scikit-learn.
  • Concepts: Deep understanding of machine learning, deep learning, data mining, algorithms, and computer vision.
  • Tools: Familiarity with Git for version control and cloud platforms for scalable solutions.
  • Soft Skills: 
  • Collaboration: Ability to work effectively in multidisciplinary teams.
  • Communication: Excellent communication skills to explain complex technical concepts to both technical and non-technical stakeholders. 
  • Problem-Solving: Strong analytical and problem-solving skills to design and implement effective AI solutions.