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Computer Vision Jobs in Boston, MA (NOW HIRING)

Cybercoders

AI/ML Engineer - Computer Vision

Cambridge, MA · On-site +1

$121K - $143K/yr

AI/ML Engineer - Computer Vision AI/ML Engineer - Computer Vision Remote in US Full-Time About the Opportunity We are a venture-backed technology company building AI-powered solutions that bring real ...

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Computer Vision information

See Boston, MA salary details

$36.4K

$52.5K

$69K

How much do computer vision jobs pay per year?

As of Jun 23, 2026, the average yearly pay for computer vision in Boston, MA is $52,468.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,300.00 and $60,300.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior computer vision engineers with extensive experience, advanced skills in deep learning and image processing, and often working in high-paying industries like technology or autonomous vehicles can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.

Which 3 jobs will survive AI?

Computer Vision professionals are likely to continue in roles that require complex problem-solving, creativity, and domain expertise, such as research scientists, AI system architects, and specialized engineers. These jobs involve tasks that are difficult to fully automate, especially when combined with skills in programming, machine learning frameworks, and continuous learning. Roles that emphasize human judgment and oversight are also expected to persist despite advances in AI automation.

What is a Computer Vision job?

A Computer Vision job involves developing algorithms and systems that enable computers to interpret and process visual data from the world. Professionals in this field work on tasks such as object detection, image recognition, and video analysis using machine learning and deep learning techniques. They collaborate with data scientists, software engineers, and researchers to build applications in fields like healthcare, autonomous vehicles, and augmented reality. Strong programming skills in Python, knowledge of frameworks like OpenCV and TensorFlow, and experience with image processing techniques are essential for success in this role.

What are some typical projects or tasks a Computer Vision professional might work on?

Computer Vision professionals commonly work on projects like designing algorithms for image classification, object detection, facial recognition, or scene understanding, often leveraging deep learning models. Daily responsibilities may include data preprocessing, developing and testing models, deploying solutions on cloud or edge devices, and evaluating performance against benchmarks. Collaboration is frequent with data scientists, software engineers, and product managers to integrate vision models into software applications or products. These projects can span various industries such as healthcare, automotive, retail, and security, providing both technical challenges and opportunities for impactful innovation.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data analysis, and programming. These roles usually involve leadership responsibilities, extensive experience, and may be found in large tech companies or specialized AI firms.

Are there jobs in computer vision?

Yes, there are many jobs in computer vision, including roles such as computer vision engineer, researcher, and software developer. These positions often require skills in machine learning, deep learning, and programming languages like Python or C++, and may involve working with tools such as OpenCV or TensorFlow. Opportunities exist across industries like technology, automotive, healthcare, and robotics.

What are the key skills and qualifications needed to thrive in the Computer Vision position, and why are they important?

To thrive in a Computer Vision role, you need strong programming skills (especially in Python and C++), a solid understanding of mathematics (linear algebra, probability, and statistics), machine learning fundamentals, and typically a relevant degree in Computer Science or a related field. Proficiency with deep learning frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with image processing tools, is highly valued, and certifications in AI or data science are beneficial. Analytical thinking, creative problem-solving, and effective teamwork and communication skills help you excel. These abilities are crucial for developing innovative real-world computer vision solutions and collaborating across multidisciplinary teams.

What are the most commonly searched types of Computer Vision jobs in Boston, MA? The most popular types of Computer Vision jobs in Boston, MA are:
What are popular job titles related to Computer Vision jobs in Boston, MA? For Computer Vision jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Computer Vision jobs in Boston, MA look for? The top searched job categories for Computer Vision jobs in Boston, MA are:
What cities near Boston, MA are hiring for Computer Vision jobs? Cities near Boston, MA with the most Computer Vision job openings:
Computer Vision jobs near you

Computer Vision Specialist (Robotics)

Hyphen Connect Limited

Boston, MA • On-site

Other

Posted 29 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.

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