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Computer Vision Machine Learning Jobs in Boston, MA

MatrixSpace

Machine Learning Engineer

Burlington, MA · Remote

$165K - $200K/yr

Help us bridge machine learning research and real-world deployment! MatrixSpace develops AI-enabled ... Experience with radar, RF sensing, sensor fusion, computer vision, robotics, or autonomous systems.

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 ...

ASUS

Senior Machine Learning Engineer

Boston, MA · On-site +1

$161K - $246K/yr

This role centers on leading the design and delivery of advanced computer vision and perception ... Lead the design and development of machine learning systems for computer vision and perception ...

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 ...

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 ...

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All JobsComputer Vision Machine Learning JobsComputer Vision Machine Learning Jobs in Boston, MA

Computer Vision Machine Learning information

See Boston, MA salary details

$14

$21

$32

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 Boston, MA is $21.64, according to ZipRecruiter salary data. Most workers in this role earn between $17.74 and $23.75 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 Boston, MA?

For Computer Vision Machine Learning jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Computer Vision Machine Learning jobs in Boston, MA look for?

The top searched job categories for Computer Vision Machine Learning jobs in Boston, MA are:

Computer Vision Machine Learning jobs near you
Infographic showing various Computer Vision Machine Learning job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 16% Part Time, and 7% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $45,008 per year, or $21.6 per hour.

Principal Product Manager - Computer Vision

Motorola Solutions

Waltham, MA • On-site

Full-time

Re-posted 15 days ago

Motorola Solutions rating

8.7

Company rating: 8.7 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

19th of 159 rated electronics manufacturers

Job description

Job Summary:
Motorola Solutions is a global community focused on helping keep people safer everywhere. The Principal Product Manager - Computer Vision will lead the strategy and roadmap for the Computer Vision Platform, partnering with internal teams to define requirements and drive adoption of AI models across the product portfolio.
Responsibilities:
• Define the vision, strategy and roadmap for the Computer Vision Platform, ensuring alignment with Motorola Solutions' overall product portfolio and strategic business goals.
• Serve as the primary product leader for the platform, engaging with internal product leaders and teams across Motorola to understand their computer vision needs, define platform requirements (APIs, capabilities, scalability), and drive adoption of platform services.
• Author high-quality Market Requirements Documents (MRDs), Product Requirements Documents (PRDs), and user stories for core platform capabilities (e.g., model serving, data pipelines, edge-to-cloud synchronization) and for select end-to-end computer vision products.
• Own the product lifecycle for central, reusable computer vision models and foundational AI infrastructure, from ideation and research collaboration through deployment, adoption, and deprecation.
• Define, implement, and track key business, customer, and technical metrics (e.g., platform adoption, performance, latency, cost-efficiency, and quantifiable customer outcomes) to measure the success and health of the platform and drive continuous improvement.
• Conduct market research, competitive analysis, and customer/partner discovery to identify new opportunities, validate product concepts, and inform strategic build-versus-buy decisions.
Qualifications:
Required:
• 10+ years of product management experience, with a focus on platform products, AI/ML, or complex, cross-functional technical domains.
• Deep understanding of computer vision and machine learning, machine learning lifecycle (MLOps), data platforms, and the challenges of building and deploying central, reusable AI infrastructure and models.
• Demonstrated ability to engage in technical discussions with engineering teams, understand architectural trade-offs, and define clear, measurable product requirements.
• Proven experience defining product vision, strategy, and roadmaps.
• Expertise in defining and implementing metrics frameworks (KPIs, OKRs) to measure product success (adoption, revenue, customer value) and drive organizational change and accountability.
• Strong analytical skills, with experience working with AI performance metrics (e.g., Precision/Recall), real-time video processing, and inference optimization.
• Demonstrated ability to operate at a Principal level, influence senior leaders across organizations, drive consensus, and communicate complex technical and strategic concepts clearly and concisely, including presenting roadmap elements and business cases.
• Customer-focused with a track record of building strong relationships and conducting early-stage discovery to understand internal and external customer needs.
• Experience in public safety, security-focused software (e.g., video security, evidence management), mission-critical systems, or emergency communications is a plus.
• Experience bringing initial definition to 'highly ambiguous' product concepts and conducting early-stage discovery for emergent initiatives.
Company:
Motorola Solutions creates mission-critical communication solutions and services for public safety and commercial customers. Founded in 1928, the company is headquartered in Chicago, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Motorola Solutions employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Motorola Solutions logo

About Motorola Solutions

Sourced by ZipRecruiter

At Motorola Solutions, we believe that everything starts with safety. It's the constant that empowers people to confidently move forward. It can fill a flight or sell out a stadium. It can care for a patient or graduate a class. As a global leader in public safety and enterprise security, we create and connect the technologies that help to keep people safe where they live, learn, work and play. Our integrated technology ecosystem unifies critical communications, video security and access control, and command center software, enabling collaboration in more powerful ways. At Motorola Solutions, we're ushering in a new era in public safety and security. Bring your passion, potential and talents to a career that matters.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1928

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