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Computer Vision Engineer Jobs in Worcester, MA (NOW HIRING)

Cognex

Senior Machine Learning Engineer

Natick, MA

$115K - $225K/yr

Background in computer vision, signal processing, or related fields. * Experience with embedded ML ... Engineering, Mathematics or related field, and 5+ years of relevant experience in AI/ML, software ...

Cognex

Senior Machine Learning Engineer

Natick, MA

$115K - $225K/yr

Background in computer vision, signal processing, or related fields. * Experience with embedded ML ... Engineering,Mathematicsor related field, and5+ years of relevant experience in AI/ML, software ...

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Worcester, MA

Computer Vision Engineer information

See Worcester, MA salary details

$48.4K

$121.3K

$137.2K

How much do computer vision engineer jobs pay per year?

As of Jun 8, 2026, the average yearly pay for computer vision engineer in Worcester, MA is $121,251.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $131,200.00 per year, depending on experience, location, and employer.

What are Computer Vision Engineers?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

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

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What Does a Computer Vision Engineer Do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

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

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.
More about Computer Vision Engineer jobs
What job categories do people searching Computer Vision Engineer jobs in Worcester, MA look for? The top searched job categories for Computer Vision Engineer jobs in Worcester, MA are:
What cities near Worcester, MA are hiring for Computer Vision Engineer jobs? Cities near Worcester, MA with the most Computer Vision Engineer job openings:
Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Worcester, MA as of May 2026, with employment types broken down into 1% As Needed, 61% Full Time, 36% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $121,251 per year, or $58.3 per hour.
Senior Computer Vision/ML Software Engineer

Senior Computer Vision/ML Software Engineer

Nova Biomedical

Waltham, MA • On-site

$133K - $176K/yr

Full-time

Posted 5 days ago

Job description

Job Summary:
Nova Biomedical is a global leader in biotechnology and in vitro diagnostic instrumentation, committed to advancing patient care and scientific discovery. They are seeking a Senior Computer Vision/ML Software Engineer to support Research & Systems Engineering by facilitating the research, design, and deployment of machine learning and artificial intelligence models for their product portfolio.
Responsibilities:
• Design and lead innovative AI projects from beginning to end and provide technical guidance to other team members.
• Be able to assist in the breakdown of new AI features into actionable work items, and work with the team to
• Estimate the time and complexity involved them.
• Produce coherent and concise technical documentation of AI-based projects, providing summaries and evidence of
• work completed.
• Manage AI model codebases from research to production level.
• Communicate with other teams (Systems, Software Development team) to perform team tasks more effectively.
• Contribute to the creation and filing of patents to protect intellectual property generated through research
• efforts, working closely with legal and intellectual property teams as necessary.
• Implement state-of-the-art AI and ML models and evaluate performance with regards to key business objectives,
• Introducing research prototypes and features into the company’s portfolio of market leading instruments.
Qualifications:
Required:
• Strong Python/C++ coding ability.
• Strong experience in ONNX model and Microsoft ML interface.
• Strong image processing knowledge.
• Ability to readily absorb complex bioinformatic concepts.
• Excellent problem-solving, analytical, and communication skills.
• Strong knowledge of the biotech industry with a focus on cell development practices.
• Deep knowledge of convolutional models and latest techniques.
• Proficiency in major deep learning frameworks (PyTorch, Yolo, CellPose).
• MSc or higher in CompSci, Mathematics, Physics, AI, Computational Biology or any other relevant quantitative discipline, OR equivalent master’s level work experience delivering AI/ML solutions.
• 2+ years of experience applying ML/AI to microscope images or biological problems.
• 3-4 years of experience with any of the major deep learning frameworks (PyTorch, Yolo, CellPose).
• Demonstrable industry experience of delivering computer vision-based AI projects (preferably in biotech).
Company:
Nova Biomedical develops, manufactures, and sells advanced technology blood testing analyzers and diagnostic products. Founded in 1976, the company is headquartered in Waltham, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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