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Computer Vision Machine Learning Jobs in Massachusetts

Meta

AI Research Scientist - Computer Vision

Boston, MA · On-site

$154K - $217K/yr

Responsibilities Contribute to and apply research that advances Meta products by developing novel input technologies for VR, MR and AR systems based on computer vision and machine learning • Design ...

New

Meta

AI Research Scientist - Computer Vision

Boston, MA

$154K/yr

AI Research Scientist - Computer Vision Responsibilities: * Contribute to and apply research that ... Design and prototype data collection systems to accelerate machine learning * Collaborate and work ...

Axon

Senior Machine Learning Scientist

Boston, MA · On-site

$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 ... in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant ...

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 ...

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 ...

Nanite Inc.

Machine Learning Engineer

Boston, MA · On-site

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Quali fications MS in Computer Science, Data Science, Statistics, Computational Biology ...

Nanite Inc.

Machine Learning Engineer

Boston, MA · On-site

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Quali fications MS in Computer Science, Data Science, Statistics, Computational Biology ...

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Computer Vision Machine Learning information

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$14

$21

$33

How much do computer vision machine learning jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for computer vision machine learning in Massachusetts is $21.75, according to ZipRecruiter salary data. Most workers in this role earn between $17.84 and $23.89 per hour, depending on experience, location, and employer.

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

To thrive as a Computer Vision Machine Learning Engineer, you need strong foundations in mathematics, programming (especially Python or C++), and expertise in machine learning algorithms, typically supported by a degree in computer science, engineering, or a related field. Familiarity with deep learning frameworks like TensorFlow or PyTorch and experience with image processing libraries are essential, along with knowledge of version control systems. Strong problem-solving, collaboration, and communication skills help you translate complex requirements into effective models and work efficiently in multidisciplinary teams. These skills ensure the development of robust computer vision solutions that address real-world challenges and drive innovation.

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

Computer Vision Machine Learning engineers often encounter challenges such as ensuring models perform well on real-world, diverse image data that may differ from training datasets. Managing computational efficiency and latency is crucial, especially for real-time applications. Additionally, integrating models with existing software systems and maintaining accuracy as data evolves can be complex. Collaboration with data engineers, software developers, and product teams is essential to address these challenges and ensure smooth deployment and monitoring.

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

AspectComputer Vision Machine LearningData Scientist
Required CredentialsBachelor's or higher in CS, ML, or related; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentResearch labs, tech companies, AI startups focusing on visual dataBusiness, finance, healthcare sectors analyzing diverse data sets
Industry UsageDeveloping visual recognition systems, image processingData analysis, predictive modeling, business insights
Common Search/ComparisonYesYes

While both roles involve machine learning, Computer Vision Machine Learning specializes in visual data and image processing, whereas Data Scientists work with a broader range of data types to generate insights across various industries.

What is a Computer Vision Machine Learning Engineer?

A Computer Vision Machine Learning Engineer is a professional who develops algorithms and models that enable computers to interpret and understand visual data from the world, such as images and videos. They use techniques from machine learning, deep learning, and image processing to build systems capable of tasks like object detection, image classification, facial recognition, and scene understanding. Their work is critical in fields such as autonomous vehicles, healthcare imaging, security, and augmented reality. These engineers typically have strong skills in programming, mathematics, and data analysis, and often work closely with data scientists and software developers.
What are popular job titles related to Computer Vision Machine Learning jobs in Massachusetts? For Computer Vision Machine Learning jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Computer Vision Machine Learning jobs in Massachusetts look for? The top searched job categories for Computer Vision Machine Learning jobs in Massachusetts are:
What cities in Massachusetts are hiring for Computer Vision Machine Learning jobs? Cities in Massachusetts with the most Computer Vision Machine Learning job openings:
Computer Vision Machine Learning jobs near you
Infographic showing various Computer Vision Machine Learning job openings in Massachusetts as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $45,245 per year, or $21.8 per hour.
AI Research Scientist - Computer Vision

AI Research Scientist - Computer Vision

Meta

Boston, MA • On-site

$154K - $217K/yr

Full-time

Posted 2 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

135th of 209 rated software companies

Job description

At Meta Reality Labs, we're developing the input technologies that will define the future of the virtual and augmented reality computing platforms. We are looking for a Research Scientist to join our machine perception team in advancing the state-of-the-art of human understanding, action recognition and statistical text decoding. You will work with research scientists, software engineers and hardware engineers to design technical solutions in a multidisciplinary environment.
Responsibilities
Contribute to and apply research that advances Meta products by developing novel input technologies for VR, MR and AR systems based on computer vision and machine learning
• Design and prototype interactive experiences and evaluate them through user research
• Design and prototype data collection systems to accelerate machine learning
• Collaborate and work across teams to develop concepts that advance the entire product pipeline (hardware, software, data collection, machine learning, etc.)
Minimum Qualifications
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• PhD in Computer Science or a related field with published projects in the fields of machine learning, deep learning and/or computer vision
• Proven experience in designing data collection protocols and quality control, manifested in solid contributions in constructing high quality computer vision and machine learning datasets
• Technical knowledge across a range of topics including machine learning, optimization, Bayesian statistics and state estimation
• Experience innovating or extending research ideas for new problem domains or for fitting new constraints
• Interpersonal experience: cross-functional and cross-team collaboration
Preferred Qualifications
• Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
• Experience transferring technology from research in computer vision, machine perception or machine learning into a shipping product
• Experience with joint hardware-software development and associated rapid prototyping
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at AI conferences such as CVPR, ECCV/ICCV, SIGGRAPH, NeurIPS, ICLR, ACL or similar
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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