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Computer Vision Machine Learning Jobs in Massachusetts

Activ

Staff Software Engineer

Boston, MA · On-site

This is an opportunity to work on challenging technical problems at the intersection of medical imaging, computer vision, machine learning, and real-time systems, and to have a direct impact on life ...

Activ

Staff Software Engineer

Boston, MA

This is an opportunity to work on challenging technical problems at the intersection of medical imaging, computer vision, machine learning, and real-time systems, and to have a direct impact on life ...

Activ

Staff Software Engineer

Boston, MA · On-site

This is an opportunity to work on challenging technical problems at the intersection of medical imaging, computer vision, machine learning, and real-time systems, and to have a direct impact on life ...

Nucs AI

Machine Learning Scientist

Berlin, MA · On-site +1

PhD in machine learning, computer vision, medical image analysis, biomedical engineering, or related field * Strong publication record in relevant venues (medical imaging, clinical ML, computer ...

Chewy

Machine Learning Engineer III

Boston, MA · On-site

$175K - $249K/yr

Master's degree or foreign equivalent in Operations Research, Data Science, Computer Engineering ... We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life ...

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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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$14

$21

$33

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

As of Jun 20, 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.

Is computer vision a dead field?

Computer vision is an active and rapidly evolving field within machine learning, with ongoing research and industry applications in areas like autonomous vehicles, healthcare, and security. Professionals in this area often work with deep learning frameworks such as TensorFlow or PyTorch and require strong programming skills. The demand for computer vision expertise continues to grow as technology advances.

What engineers make $500,000?

Senior computer vision machine learning engineers with extensive experience, advanced skills in deep learning frameworks, and a strong track record in deploying scalable AI systems can earn salaries approaching or exceeding $500,000, especially in high-cost-of-living areas or within large tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on product development.

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.

Which has more salary, CS or AI?

Computer Vision Machine Learning roles, often within AI, tend to have higher salaries than general computer science positions due to specialized skills in deep learning, neural networks, and data analysis. AI roles typically require advanced knowledge of algorithms and tools like TensorFlow or PyTorch, which are highly valued in the job market. Salary differences can vary based on experience, location, and industry, but AI-focused positions generally offer higher compensation.

Which 5 jobs will survive AI?

For a Computer Vision Machine Learning role, jobs that require complex problem-solving, creativity, and human judgment are more likely to persist, such as research scientists, AI ethics specialists, data engineers, software developers, and domain-specific analysts. These roles often involve tasks that are difficult to automate fully and benefit from specialized expertise, continuous learning, and adaptability. Skills in programming, deep learning frameworks, and understanding of real-world applications remain valuable in these positions.

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

Systems Application Engineer II (Vision & Digital Solutions)

Sick AG

Canton, MA • On-site

$83K - $126K/yr

Full-time

Posted 27 days ago

Job description

Systems Application Engineer II (Vision & Digital Solutions)
Mission of the Role
This position may be based in either our Minneapolis, MN or Canton, MA office.
As a Systems Application Engineer II, you will play a pivotal role in shaping intelligent automation solutions across North America. You'll partner with sales, industry teams, integrators, and customers to design and deliver cutting-edge vision, machine learning, and advanced analytics solutions that bring SICK's Sensor Intelligence to life.
Key Responsibilities
Technical Solutions Development and Support
  • Provide vision, machine learning, and digitalization application support to internal teams, distributors, integrators, and customers.
  • Support sales pursuits by delivering expert technical guidance that helps drive opportunities to close.
  • Develop new system concepts by combining SICK technologies with complementary third-party solutions to create differentiated customer value.

Collaboration & Cross-Functional Engagement
  • Facilitate communication and cooperation between global SICK cross-functional teams to leverage knowledge centers and collaboratively solve customer challenges.
  • Participate in customer discovery sessions to uncover unmet needs and translate them into actionable solution requirements.

Customer & Project Support
  • Support the creation and scoping of projects including acceptance criteria, inclusions, and exclusions, partnering with Customer Project Management (CPM) teams as needed.
  • Test and validate system functionality and performance to ensure customer requirements are fully met.
  • Deliver systems training to customers, integrators, distributors, and internal teams.
  • Provide ongoing technical support and continuous improvement recommendations for deployed systems.

Marketing Insight & Strategic Contributions
  • Capture recurring customer requirements to help define future market and product solutions that address common unmet needs.
  • Contribute to competitive analysis and value-proposition development for both technologies and services.

Perform other duties as may be assigned or required by management.
Key Qualifications
  • Experience: 7+ years in industrial automation roles; 4+ years working with vision inspection systems and machine analytics.
  • Education: Bachelor's degree in Electrical or Mechanical Engineering is required.
  • Certifications: None is required
  • Position-specific Qualifications:
    • Demonstrated ability to translate complex customer problems into structured technical solution architectures, especially involving multi-sensor, vision, or machine-learning-based systems.
    • Strong diagnostic and troubleshooting skills with the ability to quickly assess root causes and establish corrective action paths in live customer environments.
    • Programming capabilities in PLC, MATLAB, C/C++, Helcon, Lua, Java is a plus.
    • Proven experience designing or supporting end-to-end vision inspection workflows, including lighting, optics, imaging algorithms, and environmental considerations.
    • Ability to interpret and analyze large datasets or machine analytics outputs to support system tuning, optimization, and predictive-maintenance recommendations.
    • Skilled at leading technical discussions with cross-functional stakeholders, including engineering, sales, project management, and external integrators.
    • Familiarity with system validation methodologies including FAT, SAT, proof-of-concept testing, and structured test documentation.
    • Strong ability to self-start, learn quickly, and work independently in a field-based environment.
  • Computer/Technological: Professional competence with Microsoft Office, SAP, and general internet applications.
  • Language: Professional written and spoken fluency in English required.
  • Schedule: Generally Monday to Friday, full time; be on-call on some weekends (if required).
  • General Working Conditions: Be able to usually work in an office environment; flexible (hybrid) work arrangements available.
  • Travel: Be able to travel up to 75% of the time, including internationally; must have a valid passport.
  • Work Status: Legally permitted to work in the country you are applying and willing to undergo an employment background check.

Compensation
The base salary is one part of our Total Rewards package and is determined within a range. The starting base salary range for this position is listed below; the actual starting salary will be based on a variety of factors including experience, skill set, education, performance, licenses/certifications, business needs and other job-related factors, as permitted by law.
  • Starting Base Annual Salary Range: $83,640 - $126,500
  • Bonus Eligibility: This role is eligible for an annual bonus based on a combination of company and individual performance.

Information at a Glance

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