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Entry Level Computer Vision Engineer Jobs (NOW HIRING)

Archer

Computer Vision Engineer

San Jose, CA

$140K - $260K/yr

Design and implement deep-learning and classical computer vision algorithms for real-time, embedded deployment * Perform sensor calibration and multi-sensor fusion across camera, lidar, and radar

Toggle Robotics

3D Computer Vision Engineer

$114K - $134K/yr

They are seeking a 3D Computer Vision Engineer to develop software that transforms raw 3D scan data into reliable measurements and decisions for quality control in fabrication environments.

Archer

Computer Vision Engineer

San Jose, CA · On-site

$140K - $260K/yr

Design and implement deep-learning and classical computer vision algorithms for real-time, embedded deployment * Perform sensor calibration and multi-sensor fusion across camera, lidar, and radar

Infosys

Computer Vision Engineer

Grapevine, TX · On-site

$103K - $121K/yr

Required : • Expertise in developing real-time computer vision models • Python, Pytorch, tensorflow • CV/ML model development • Object recognition/Detection • Bachelor's degree or foreign ...

Meta

Computer Vision Engineer

Burlingame, CA · On-site

$125K - $148K/yr

Meta Reality Labs is seeking a Machine Learning Engineer to drive the productization of gesture recognition models for our AR/VR devices. This role brid.

Meta

Computer Vision Engineer

Sunnyvale, CA · On-site

$130K - $154K/yr

The Reality Labs (RL) organization at Meta is helping more people around the world come together and connect through industry-leading Augmented and Virt.

Meta

Computer Vision Engineer

Redmond, WA

$124K - $147K/yr

The Reality Labs (RL) organization at Meta is helping more people around the world come together and connect through industry-leading Augmented and Virt.

Meta

Computer Vision Engineer

Burlingame, CA

$125K - $148K/yr

The Reality Labs (RL) organization at Meta is helping more people around the world come together and connect through industry-leading Augmented and Virt.

Meta

Computer Vision Engineer

Seattle, WA · On-site

$126K - $149K/yr

The Reality Labs (RL) organization at Meta is helping more people around the world come together and connect through industry-leading Augmented and Virt.

Hired Recruiters

$100K - $137K/yr

As a computer vision engineer at the company you'll contribute to design and development of various core technologies and products, such as real-time perception, 3D reconstruction, visual-inertial ...

Corning

Sr. Computer Vision Engineer

Painted Post, NY · On-site

$89K - $122K/yr

A Sr. Computer Vision engineering position in the Corning Environmental Technologies (CET) Division Engineering Measurements & Controls group that includes development, assembly, testing and ...

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All JobsComputer Vision Engineer 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 Aug 8, 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 August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.

Computer Vision Engineer - R136

Expedition Technology

Herndon, VA • On-site

$114K - $135K/yr

Full-time

Re-posted 27 days ago

Job description

Job Summary:
Expedition Technology is focused on developing advanced capabilities to support the Intelligence Community and Department of Defense. They are seeking a Computer Vision Engineer to contribute to AI/ML efforts for geospatial intelligence and data fusion, optimizing machine learning models and collaborating on deployable capabilities.
Responsibilities:
• Develop and optimize machine learning and computer vision models, including support for hyperspectral imagery and multi-modal sensor data
• Build algorithms for detection, tracking, and data fusion across complex datasets
• Collaborate across small, multidisciplinary teams to translate research into deployable capabilities
• Contribute to both algorithm development and software implementation, helping turn innovative approaches into mission-ready systems
• Support solutions deployed across cloud and low size, weight, and power (SWaP) environments
Qualifications:
Required:
• Experience in machine learning, computer vision, or related AI/ML fields
• Strong foundation in algorithm development and data-driven problem solving
• Ability and willingness to write production-quality software in support of ML systems
• A collaborative mindset and desire to contribute to a team where the whole is greater than the sum of its parts
• This role requires a Top Secret (TS) clearance and the ability to obtain SCI access
Preferred:
• Experience with geospatial, sensor, or hyperspectral data (experience is a plus, but not required)
• Candidates with an active TS/SCI are preferred
Company:
Expedition Technology is an engineering firm that specializes in advanced research for a broad range of government customers. Founded in 2013, the company is headquartered in Herndon, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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