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Entry Level Computer Vision Engineer Jobs (NOW HIRING)

Sciton

Computer Vision (Software) Engineer

Palo Alto, CA

$170K - $190K/yr

Computer Vision (Software) Engineer Sciton is a Silicon Valley based pioneer in laser, light, and energy technologies for aesthetic and medical applications. Our engineers helped bring laser products ...

Detect

AI Engineer - Computer Vision

Miami, FL · On-site

As a AI Engineer on the Computer Vision team, your primary focus will be contributing to the development and evaluation of cutting-edge computer vision models and infrastructure that power our AI ...

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA

$127K - $149K/yr

Position Overview We are seeking a Computer Vision AI & ML Engineer to design, build, and deploy advanced perception systems for real-world robotics and automation. You will work across the full ...

Detect

AI Engineer - Computer Vision

Miami, FL · On-site

As a AI Engineer on the Computer Vision team, your primary focus will be contributing to the development and evaluation of cutting-edge computer vision models and infrastructure that power our AI ...

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $150K/yr

They are seeking a Computer Vision AI & ML Engineer to design, build, and deploy advanced perception systems for robotics and automation, working across the full machine learning lifecycle.

New

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $149K/yr

Position Overview We are seeking a Computer Vision AI & ML Engineer to design, build, and deploy advanced perception systems for real-world robotics and automation. You will work across the full ...

Calvary Robotics

Vision Engineer

Webster, TX · On-site

Bachelor of Science degree in Electrical Engineering, computer science, computer vision and/or other degrees / demonstrated industry experience Experience selecting/designing vision systems, optics ...

Calvary Robotics

Vision Engineer

Webster, NY · On-site

Solid background in computer programming using C++ , C# , VB.net and Statistical Analysis * Experience using Cognex Insight, VisionPro, Keyence Vision system, National Instrument etc... * Experience ...

Calvary Robotics

Vision Engineer

Webster, NY · On-site

Bachelor of Science degree in Electrical Engineering, computer science, computer vision and/or other degrees / demonstrated industry experience * Experience selecting/designing vision systems, optics ...

Calvary Robotics

Vision Engineer

Webster, NY · On-site

Solid background in computer programming using C++ , C# , VB.net and Statistical Analysis * Experience using Cognex Insight, VisionPro, Keyence Vision system, National Instrument etc... * Experience ...

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All JobsEntry Level Computer Vision Engineer Jobs

Entry Level Computer Vision Engineer information

See salary details

$48.5K

$121.5K

$137.5K

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

As of Jun 5, 2026, the average yearly pay for entry level computer vision engineer in the United States is $121,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $131,500.00 per year, depending on experience, location, and employer.

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 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 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.
More about Entry Level Computer Vision Engineer jobs
What cities are hiring for Entry Level Computer Vision Engineer jobs? Cities with the most Entry Level Computer Vision Engineer job openings:
What are the most commonly searched types of Computer Vision Engineer jobs? The most popular types of Computer Vision Engineer jobs are:
What states have the most Entry Level Computer Vision Engineer jobs? States with the most job openings for Entry Level Computer Vision Engineer jobs include:
What job categories do people searching Entry Level Computer Vision Engineer jobs look for? The top searched job categories for Entry Level Computer Vision Engineer jobs are:
Entry Level Computer Vision Engineer jobs near you
Infographic showing various Entry Level Computer Vision Engineer job openings in the United States as of May 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 92% In-person, 3% Hybrid, and 5% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.
Machine Learning & Computer Vision Developer

Machine Learning & Computer Vision Developer

Tommy's Express Car Wash

Holland, MI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

Machine Learning & Computer Vision Developer
Tommy Car Wash Systems is looking for a Machine Learning & Computer Vision Developer who enjoys building intelligent systems that operate in the real world. This role sits at the intersection of machine learning research and production software engineering. You will work on problems such as optical character recognition (OCR), license plate recognition, and CNN-based visual perception systems, while also helping design and deploy computer vision applications that run in live operational environments.
What can Tommy's offer you?
  • Base pay and eligibility for annual profit-sharing bonus

  • Full insurance package including Health, Dental, Vision, Life, Disability, Employee Assistance

  • Dependent Care FSA with on-site Daycare options

  • 401k match and complimentary financial planning services

  • Paid time off and paid holidays

  • Opportunity for continued education and tuition assistance

  • Valuable learning and development program

  • Significant ability to grow internally for motivated and strong performing team members

  • Fun, energetic, family-oriented work culture with an emphasis on team member morale

  • Growing nationwide brand / presence

Position Responsibilities:
  • Develop machine learning and computer vision systems for real-world applications.

  • Design, train, and evaluate CNN-based models for visual recognition tasks.

  • Build production software that integrates ML models into larger applications and pipelines.

  • Implement real-time or near-real-time processing of image and video data.

  • Prototype and test new approaches to perception problems using experimental data.

  • Contribute to data engineering tasks including dataset creation, labeling, and preprocessing.

  • Deploy models to edge devices or cloud infrastructure and maintain their performance in production.

  • Write clean, maintainable code using modern software engineering practices.

  • Collaborate with engineers, product teams, and stakeholders to translate operational needs into intelligent systems.

  • Other duties as assigned; duties and responsibilities may change at any time with or without notice.

Applied Machine Learning Systems:
  • OCR and license plate recognition pipelines

  • CNN-based detection and classification models

  • Retail or operational analytics derived from visual data

  • Data collection, labeling, and model evaluation workflows

Computer Vision Engineering:
  • Real-time video processing systems

  • Object detection, tracking, and environmental monitoring

  • Integration with camera hardware and edge compute devices

  • Production deployment and system optimization

Position Qualifications & Candidate Attributes:
  • Bachelor's or Master's degree in Computer Science, Robotics, Machine Learning, Electrical Engineering, or related field (or equivalent experience).

  • Strong programming skills in OOP language, preferably Python.

  • Experience with machine learning frameworks such as PyTorch or TensorFlow.

  • Experience working with computer vision or image processing techniques.

  • Solid understanding of software engineering fundamentals including version control, testing, debugging, and modular design.

  • Ability to move between rapid experimentation and production-grade development.

  • Views customer care as high priority; exhibits a positive can-do attitude

  • Displays a strong initiative and drive to identify gaps and fill them

  • Experience building OCR or license plate recognition systems.

  • Experience with convolutional neural networks for vision tasks.

  • Familiarity with OpenCV or similar image processing libraries.

  • Experience working with video pipelines or camera systems.

  • Experience deploying models to edge devices (Jetson, Coral, etc.).

  • Experience with Docker, Linux, and CI/CD workflows.

  • Familiarity with C++ or another performance-oriented language.

  • Experience working with cloud ML platforms or model lifecycle tools.

  • Experience with cloud platforms (AWS, Google Cloud, Azure etc).

  • Familiarity with Node.js, C++, JavaScript, and other programming languages.

  • Experience with PCs and camera hardware connections.

  • Technical savvy and proficient in Microsoft Office; experience within database systems a plus

  • Excellent written and oral communication skills

  • Process-oriented and strong collaborator with ability to communicate and manage well at all levels of the organization and across various departments

  • Strong organizational and time management skills; ability to multitask and prioritize workload

  • Highly adaptable with strong problem-solving and critical thinking skills; ability to exercise good judgment and make sound data-backed decisions

  • High level of integrity and dependability with a strong sense of urgency and results-orientation

Work Environment and Physical Demands:
Office: This job operates in a professional office environment. Office hours are Monday through Friday from 8:00am - 5:00pm. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and operates primarily indoors with limited to no travel expectation.
Overview of Tommy Enterprises Companies:
Tommy's Express is a national franchise for outstanding car washes and car care services. Powered by industry leading technology and decades of experience and planning, Tommy's Express car washes deliver a cutting-edge car wash experience unlike anything you've encountered before. Our fully automatic washes feature advances including the easy-loading car wash dual belt conveyor, wide open car wash bay for natural lighting, advanced presoak and sealer services, and free high-power self-serve vacuums on site.
Tommy's Express Operations consists of a number of corporately owned Tommy's Express car wash locations across the country. This is a quickly growing operation with intentions to open or acquire 3-5 new locations per year through the launch of Tommy's Express Capital, a new private fund strategy.
Tommy Car Wash Systems ("TCWS") is the power behind our Tommy's Express equipment. TCWS is a team of passionate car wash professionals working to create opportunities for our partners to become the best car wash operators they can be. We provide modular building designs, robust stainless-steel car wash equipment, an advanced Wash Club license plate reader system, the Tommy Transporter belt, high performance wash detergents, and an industry-leading franchise opportunity. At Tommy Car Wash Systems, we have a solution for almost any size operator. Our team has assisted in the development of hundreds of some of the most successful car washes around the world. Together, Tommy's Express and Tommy Car Wash Systems make up the Tommy's Corporate brand, headquartered in Holland, MI.

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