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Computer Vision Machine Learning Jobs in Massachusetts

Senior Computer Vision Engineer

Boston, MA ยท On-site

$164K - $237K/yr

The ASUS Robotics & AI Center is seeking a Senior Computer Vision Engineer to join our global ... learning models using frameworks such asPyTorchor TensorFlow. Working Conditions: * Typically ...

Machine Learning Engineer

Somerville, MA ยท On-site

$170 - $200/hr

We're looking for a Senior Machine Learning Engineer to help advance the state of voice ... Full health, dental, and vision coverage * Flexible PTO with a strong culture of taking it * Weekly ...

Showing results 41-60

Computer Vision Machine Learning information

See Massachusetts salary details

$14

$21

$33

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

As of Aug 21, 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 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 the key skills and qualifications needed to thrive as a computer vision machine learning engineer?

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.

Is machine learning used in computer vision?

Yes, machine learning is fundamental to computer vision, enabling systems to interpret and analyze visual data such as images and videos. Computer vision professionals often use techniques like deep learning and neural networks to develop applications like object detection, facial recognition, and image classification.

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:

Infographic showing various Computer Vision Machine Learning job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $45,245 per year, or $21.8 per hour.

Robotics Machine Learning Engineer

Tutor Intelligence

Watertown, MA โ€ข On-site

$90K - $190K/yr

Full-time

Medical, Dental, PTO

Re-posted 25 days ago


Job description

The Company:
Tutor Intelligence is a startup building the technology and processes to let robots go where they've never gone before: the average American factory. We understand that general-purpose and generally-intelligent robots are going to be builtย in our lifetimes, and we're combining human and artificial intelligence to lead the charge. As an AI software company who deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy. We're seeking the thinkers, builders, and researchers who can help us responsibly deliver the future of automation.
The Role:
In this role you will close the loop between human instruction and robot automation. Models you create will be deployed to robots out in the field, in a tight feedback loop controlled by you. You will create and improve deep learning models such as CNNs, build a cloud-based data and model training platform, and find ways to help our robots optimize for speed and accuracy.
For this role, we seek a pragmatic and competent engineer with domain expertise in computer vision and robotics, and a drive to proliferate robotic technologies.
At Tutor, engineering is inherently cross-disciplinary and collaborative. We seek someone with a diverse background across the robotics stack, including anything from full stack web-dev to mechanical engineering.
Our Culture:
We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We work collaboratively on just about everything we do - nobody has the full story, but we are all trying to, and need to work together to maximize our robots performance.
Responsibilities:
  • Train, fine tune, and deploy visual and language foundation models across our stack
  • Manage data in databases and optimize the flow of information from our robots to maximize machine learning potential
Skills Needed
  • Knowledge of machine learning models, particularly visual models with an emphasis on recent advanced models such as SAM, DINO, etc.
  • Strong software skills
  • Full stack knowledge, ability to not only work on machine learning models in python but also to spin up inference infrastructure, web ui, and perform database operations
  • General robotics knowledge & experience
$90,000 - $190,000 a year
All offers include generous equity, fully covered health + dental, and unlimited PTO.
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