ZipRecruiter

Log In

2

Entry Level Computer Vision Engineer Jobs in Massachusetts

Meta

AI Research Scientist - Computer Vision

Boston, MA · On-site

$154K/yr

You will work with research scientists, software engineers and hardware engineers to design technical solutions in a multidisciplinary environment. AI Research Scientist - Computer Vision ...

New

Meta

AI Research Scientist - Computer Vision

Boston, MA · On-site

$154K - $217K/yr

You will work with research scientists, software engineers and hardware engineers to design ... GitHub) • Experience transferring technology from research in computer vision, machine perception ...

New

Manulife

Senior Machine Learning Engineer

Boston, MA · Hybrid

$107K - $199K/yr

Senior Machine Learning Engineer Job Duties: Design and implement image processing solutions to ... Research Computer Vision (CV) and Natural Language Processing (NLP) algorithms to address technical ...

LTI Information Technology

Be Seen First

Computer Technician I

Burlington, MA · On-site

$45K - $55K/yr

We are seeking an entry level Computer Technician I. Compensation is commensurate with experience ... Vision coverage through EyeMed. * Generous paid vacation, sick leave, and standard U.S. holidays.

ICONSTAFF

Machine Learning Engineer

Cambridge, MA · On-site +1

Machine Learning Engineer - Computer Vision & Robotics Tycho.AI is redefining the future of autonomous intelligence. Spun out of MIT and backed by DoD contracts, we are building breakthrough AI and ...

HaloBraid

Senior Robotics Engineer

Cambridge, MA · On-site

$114K - $156K/yr

Experience with computer vision, including system architecture, software development, integration ... Complementary engineering experience: * Electronics prototyping and design * Machine learning

Winaxis

AI/ML Engineer

Boston, MA · On-site

$30 - $35/hr

Develop AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics ... Collaborate with data engineers, software developers, and business stakeholders to understand ...

Winaxis

AI/ML Engineer

Boston, MA · On-site

$35 - $45/hr

Develop AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics ... Collaborate with data engineers, software developers, and business stakeholders to understand ...

Winaxis

AI/ML Engineer

Boston, MA · On-site

$124K - $149K/yr

Develop AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics ... Collaborate with data engineers, software developers, and business stakeholders to understand ...

Winaxis

AI/ML Engineer

Boston, MA · On-site

$32 - $35/hr

Develop AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics ... Collaborate with data engineers, software developers, and business stakeholders to understand ...

VideaHealth

Senior Machine Learning Engineer

Boston, MA · On-site

$170K - $205K/yr

About the position: We're looking for a Senior Machine Learning Engineer with deep expertise in ... and computer vision teams. This is an opportunity to design, build, and scale machine learning ...

next page

Showing results 1-20

All JobsComputer Vision Engineer JobsEntry Level Computer Vision Engineer JobsEntry Level Computer Vision Engineer Jobs in Massachusetts

Entry Level Computer Vision Engineer information

See Massachusetts salary details

$53K

$132.7K

$150.2K

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

As of Jul 11, 2026, the average yearly pay for entry level computer vision engineer in Massachusetts is $132,710.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,800.00 and $143,600.00 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.
What are the most commonly searched types of Computer Vision Engineer jobs in Massachusetts? The most popular types of Computer Vision Engineer jobs in Massachusetts are:
What are popular job titles related to Entry Level Computer Vision Engineer jobs in Massachusetts? For Entry Level Computer Vision Engineer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Vision Engineer jobs in Massachusetts look for? The top searched job categories for Entry Level Computer Vision Engineer jobs in Massachusetts are:
What cities in Massachusetts are hiring for Entry Level Computer Vision Engineer jobs? Cities in Massachusetts with the most Entry Level Computer Vision Engineer job openings:
Entry Level Computer Vision Engineer jobs near you

Computer Vision Specialist (Robotics)

Hyphen Connect Limited

Boston, MA • On-site

Other

Re-posted 18 days ago

Job description

We are seeking a skilled Computer Vision Engineer. This role is pivotal in advancing robotic systems through high-fidelity spatial mapping and real-time object recognition. You will work closely with cutting-edge technology to integrate vision systems with robotic manipulation and navigation, to enhance automation capabilities.

Responsibilities:

  • Implement high-fidelity spatial mapping and real-time object recognition pipelines.
  • Integrate vision systems directly with robotic manipulation and navigation controls.
  • Train and fine-tune Vision-Language-Action (VLA) models.

Required Skills:

  • Proficiency in 3D Gaussian Splatting, NeRFs, and modern SLAM algorithms.
  • Experience with multimodal spatial AI frameworks.
  • Previous work integrating computer vision outputs with ROS2 or robotic hardware.

Apply