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Computer Vision Machine Learning Jobs in Massachusetts

Neurable, INC

Machine Learning

Cambridge, MA · On-site

We are currently looking for a Machine Learning Scientist/Researcher to join our team. We would ... with Computer Vision, Signals Processing preferred - Must be authorized to work in the United ...

Neurable, INC

Machine Learning

Cambridge, MA

We are currently looking for a Machine Learning Scientist/Researcher to join our team. We would ... with Computer Vision, Signals Processing preferred - Must be authorized to work in the United ...

VideaHealth

Senior Machine Learning Engineer

Boston, MA · On-site

$170K - $205K/yr

This is an opportunity to design, build, and scale machine learning systems that combine structured clinical data with outputs from our core computer vision models to improve patient care and ...

Socket.dev

Lead Perception Engineer

Woburn, MA · On-site

$150 - $200/hr

Master's or PhD degree in Computer Science, Computer Vision, Machine Learning, or a related field. * Experience developing within the ROS2 ecosystem. #J-18808-Ljbffr

ATI

Lead Perception Engineer

Woburn, MA · On-site

$112K - $147K/yr

Master's or PhD degree in Computer Science, Computer Vision, Machine Learning, or a related field. * Experience developing within the ROS2 ecosystem.

CarGurus

Senior Machine Learning Operations Engineer

Boston, MA · On-site

$113K - $155K/yr

... Computer Vision, Instant Market Value, and more. What you'll do * Write production-quality training ... A working understanding of the machine learning lifecycle, including model training, evaluation ...

ATI

Lead Perception Engineer

Woburn, MA · On-site

$112K - $147K/yr

Master's or PhD degree in Computer Science, Computer Vision, Machine Learning, or a related field. * Experience developing within the ROS2 ecosystem.

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All JobsComputer Vision Machine Learning JobsComputer Vision Machine Learning Jobs in Massachusetts

Computer Vision Machine Learning information

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

As of Sep 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 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 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 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.

Manager, Machine Learning on Orbit

Waltham, MA • On-site

Boston Dynamics, Inc.
Industrial Automation Equipment Manufacturing • 51 - 200 employees
Learn more about Boston Dynamics, Inc.external

$187K - $275K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago

Job description

Overview

Boston Dynamics is building the world’s most advanced robots. The Spot quadruped robot performs inspections on thousands of sites around the world, helping customers to inspect, operate and optimize their industrial facilities. We are seeking a highly experienced and motivated Manager, Machine Learning to support our Orbit team. Boston Dynamics is uniquely positioned to capture millions of multimodal datapoints from within industrial environments. This data feeds into the Orbit intelligent automation platform, coordinating robot fleets on hundreds of sites today. In Orbit, we’re building a foundation model with leading zero‑shot performance on common industrial inspection tasks. In this role you will have the opportunity to design, build, and continuously improve Orbit’s machine learning systems.

In this role you will:

  • Be a lead on a team of ~5 machine learning engineers.
  • Research, prototype, and deploy models leveraging multimodal data from robotic sensors to extract useful site information – anomalous machine states, object classification, etc.
  • Establish effective methods of evaluating inspection model performance.
  • Curate datasets to be used in model training, fine‑tuning and evaluation.
  • Identify and employ model performance improvement strategies – e.g. fine tuning, model selection, and prompt engineering.

You will be a part of the Spot Applications Organization. Here you will work alongside full‑stack engineers and in close coordination with product management and design. You will be supported by ML platform engineers, and collaborate with researchers across Boston Dynamics.

Qualifications
  • BS and 10+ years of experience, or MS and 7+ years of industry experience in Computer Science, Machine Learning, Robotics, or a related field.
  • Expert‐level software development skills, particularly in Python, with a strong command of software architecture, design patterns, and performance optimization techniques.
  • Experience training, fine‑tuning, and applying state of the art generative AI models. Preferably focused on computer vision tasks.
  • Experience with common ML tools (CUDA, PyTorch), architectures and workflows.
  • Ability to track the current state of the art, and identify opportunities for product applications.
  • A willingness to dive deep into challenging problems in computer vision, develop creative customer‑focused solutions in collaboration with teammates, and clearly communicate findings.
Benefits

The salary or hourly pay range for this position will be clearly stated in the job posting as required by Massachusetts law. The base pay range for this position is between $187,580–275,117. Base pay will depend on multiple individualized factors including, but not limited to internal equity, job related knowledge, skills and experience. This range represents a good faith estimate of compensation at the time of posting.

Boston Dynamics offers a generous benefits package including medical, dental, vision, 401(k), paid time off and an annual bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer for employment.

We are growing rapidly, building a commercial company that delivers cutting edge technology and solutions to our customers from industrial applications to logistics and warehouse solutions.

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