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Computer Vision Scientist Jobs in Massachusetts (NOW HIRING)

Cybercoders

Computer Vision Engineer

Cambridge, MA · On-site +1

$120K - $200K/yr

Computer Vision Engineer Computer Vision Engineer Remote in US Full-Time About the Opportunity We ... Bachelor's degree in Computer Science, Engineering, Machine Learning, or a related field Preferred ...

Cybercoders

AI/ML Engineer - Computer Vision

Cambridge, MA · On-site +1

$120K - $165K/yr

AI/ML Engineer - Computer Vision AI/ML Engineer - Computer Vision Remote in US Full-Time About the ... Bachelor's degree in Computer Science, Engineering, Machine Learning, or a related field Preferred ...

ASUS

Senior Computer Vision Engineer

Boston, MA

$164K - $237K/yr

Bachelor's degree or higher in computer science, electrical engineering, robotics, ora relatedfield. Work Experience * 5+ years of industry experiencedeveloping and deploying computer vision or ...

Axon

Senior Machine Learning Scientist

Boston, MA

$99K - $135K/yr

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a ...

Axon

Senior Machine Learning Scientist

Boston, MA · On-site

$99K - $135K/yr

Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud ... Experience coach and mentor junior scientists. What You Bring * PhD and with +5 years for ML ...

Moderna, Inc.

Data Scientist

Cambridge, MA · On-site

$121K - $194K/yr

ModernaTX, Inc. seeks a Data Scientist for its Cambridge, Massachusetts location. Here's What You ... Develop computer vision models for document segmentation and enhancement. * Enhance NLP and ...

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All JobsComputer Vision Scientist JobsComputer Vision Scientist Jobs in Massachusetts

Computer Vision Scientist information

See Massachusetts salary details

$55.2K

$121.6K

$150.2K

How much do computer vision scientist jobs pay per year?

As of Aug 1, 2026, the average yearly pay for computer vision scientist in Massachusetts is $121,600.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,200.00 and $149,600.00 per year, depending on experience, location, and employer.

What is the difference between Computer Vision Scientist vs Machine Learning Engineer?

AspectComputer Vision ScientistMachine Learning Engineer
Required CredentialsMaster's or PhD in Computer Science, AI, or related fieldsBachelor's or Master's in Computer Science, Software Engineering, or related fields
Work EnvironmentResearch labs, R&D departments, academiaProduct teams, software development environments
Industry UsageDeveloping algorithms for image/video analysis, object detectionBuilding scalable ML models for various applications including vision

While both roles involve machine learning, Computer Vision Scientists focus on developing algorithms specifically for visual data, whereas Machine Learning Engineers implement and deploy these models in real-world applications. The roles often overlap but differ mainly in their primary focus and work environment.

What are the key skills and qualifications needed to thrive as a Computer Vision Scientist, and why are they important?

A Computer Vision Scientist needs a strong background in mathematics, machine learning, and image processing, often supported by a graduate degree in computer science or a related field. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), programming languages like Python or C++, and experience with libraries like OpenCV are typically required. Creative problem-solving, critical thinking, and effective communication help distinguish top performers in this role. These skills are essential for developing innovative computer vision solutions that can be effectively integrated into real-world applications.

What are some common challenges faced by Computer Vision Scientists when deploying models to production environments?

Computer Vision Scientists often encounter challenges such as ensuring model robustness under varying real-world conditions, optimizing inference speed for deployment on resource-constrained devices, and managing large-scale data for continuous model improvement. Collaboration with engineering teams is crucial to integrate models efficiently into existing software pipelines and to address issues like latency and scalability. Additionally, maintaining high accuracy while minimizing false positives and negatives in live environments requires ongoing monitoring and iterative improvement.

What are Computer Vision Scientists?

Computer Vision Scientists are professionals who develop algorithms and models that allow computers to interpret and understand visual information from the world, such as images and videos. They use techniques from machine learning, artificial intelligence, and image processing to solve problems like object detection, facial recognition, and scene understanding. Their work is essential in fields such as autonomous vehicles, healthcare imaging, robotics, and augmented reality. Computer Vision Scientists often collaborate with engineers and domain experts to create practical applications and improve existing technologies.
What are popular job titles related to Computer Vision Scientist jobs in Massachusetts? For Computer Vision Scientist jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Computer Vision Scientist jobs in Massachusetts look for? The top searched job categories for Computer Vision Scientist jobs in Massachusetts are:
Computer Vision Scientist jobs near you
Infographic showing various Computer Vision Scientist job openings in Massachusetts as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $121,600 per year, or $58.5 per hour.

Senior Scientist, Computer Vision & Robotics

Charles River Analytics

Cambridge, MA • On-site

$170K - $220K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

Job description

Charles River Analytics, a GRVTY company, creates solutions and technology to tackle the world's most challenging problems. Our team of technological entrepreneurs works together to push at the forefront of enhanced AI, robotics, smart sensing, and human-centered computing. The resulting research and development help to continuously advance government programs and discover new possibilities in the commercial marketplace. At Charles River, we take great pride in our success at attracting and retaining the most talented and creative problem-solvers in our field. Now as part of GRVTY, we offer the same trusted capabilities with increased organizational depth and expanded capacity across mission-critical national security domains. Are you ready to accelerate our mission-focused innovations? We'd love to hear from you!
We're excited to offer a career-defining opportunity for a senior scientist with a deep passion and expertise in computer vision, machine learning, and image processing. Dive into diverse projects, from enhancing autonomous systems to pioneering health diagnostics to impactful image analysis, and lead our drive to deploy intelligent systems that solve real-world challenges. At Charles River Analytics, you will develop and apply concepts crossing multiple fields including computer vision, machine learning, signal processing, and state estimation. You will work in tightly-knit, project-oriented teams as a Principal Investigator with other scientists and engineers to create prototypes of new research concepts that can be further developed into deployable products. You will have the opportunity to design and execute your own R&D programs and pursue your own technical interests by building a portfolio of new work. You will also have the opportunity to attend conferences, have your work published, and lead efforts to deploy state-of-the-art technology into the field.
How will you make an impact?
  • Design new methods or apply existing methods from the literature to solve challenging problems across a range of sensing and perception-based applications in the applied robotics, overhead sensing, and physiological systems domains
  • Formulate novel concepts including new research thrusts underpinning product roadmaps
  • Guide prototype development while engaging with end-user communities and industry/academic partners to mature the company's technology for field deployment
  • Coach and mentor other computer vision scientists/engineers
  • Present your work to customers, collaborators, and the research community through papers, reports, and demonstrations
  • Generate proposals for development and deployment of advanced computer vision capabilities

What do you need?
  • B.A./B.S. in Computer Science, Engineering, Physics, or related area. Master's or Ph.D. in a technical discipline preferred
  • 5+ years in classical computer vision techniques, machine learning methods and tools including deep learning, associated frameworks (e.g., PyTorch, TensorFlow, Keras), signal processing modalities (e.g., EO/IR, sonar, radar, lidar, acoustic, LDV), or related. 10+ years of experience preferred.
  • Demonstrated proficiency in hands-on software development, particularly with Python and C++
  • Experience with robotic and autonomous systems
  • Experience directly interacting with customers and users
  • Experience running programs as a principal investigator and generating new business
  • Experience translating user needs and system features into actionable requirements for engineering teams to implement technical solutions
  • Experience generating proposals, publications, and similar written materials
  • Strong analytical and problem-solving skills, with a knack for tackling complex challenges and crafting innovative solutions
  • Flexibility and a dedication to ongoing learning with an eagerness to keep pace with evolving technology trends
  • Leadership and mentorship qualities with a proven ability to guide projects and nurture the growth of junior team members
  • US Citizenship with an ability to obtain a US Government security clearance
  • Ability to work on a hybrid schedule with at least 60% in-office presence at our Cambridge headquarters.

Our ideal candidate has:
  • Experience with systems engineering, requirements analysis, and system level design.
  • Experience with CI/CD pipelines or modern DevOps/DevSecOps methodologies.
  • Experience with containerization (Docker) and orchestration (Kubernetes, Helm)
  • Experience integrating complex software systems into larger systems (APIs, communication).
  • Familiarity with tools such as OpenCV, PyTorch, TensorFlow, and CUDA.
  • Experience with data engineering practices and management of large datasets.
  • Experience preparing technical deliverables such as specifications, reports, or contributions to academic publications.

Salary Range
$170,000 - $220,000
The above salary range is an estimate based on the internal job level(s) for which this role is being considered. The final salary will be decided after careful evaluation of the individual's work experience, education, and overall qualifications. This range does not include the substantial total rewards, as listed below, that you will also be eligible for as an employee at Charles River Analytics.
Why Charles River?
Charles River Analytics thrives on collaboration and values each team member. We offer competitive compensation plus bonus and retirement contribution, with an attractive benefits package including 100% employer-paid medical and dental insurance, as well as vision, life, and disability insurance, paid maternity/paternity leave, tuition reimbursement, monthly gym allowance, free parking, generous paid time off, and a casual environment. We offer tremendous flexibility and value work-life balance. We are also accessible by public transportation. Charles River became an employee-owned company in 2012, to set the stage for the next-generation of innovation, service, and growth in R&D. As we entered 2026, we joined forces with GRVTY, gaining the scale and capacity to transition, field, and sustain our innovations faster and more effectively than ever before.

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