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

ATI

Lead Perception Engineer

Woburn, MA · On-site

$112K - $147K/yr

If you are a perception or computer vision engineer with a passion for solving complex automation challenges, we encourage you to apply and become a key part of our innovative team. Position Overview:

ATI

Lead Perception Engineer

Woburn, MA · On-site

$112K - $147K/yr

If you are a perception or computer vision engineer with a passion for solving complex automation challenges, we encourage you to apply and become a key part of our innovative team. Position Overview:

Analogic Corporation

Algorithm Engineer

Salem, NH

Academic, internship, research, or project experience in AI, machine learning, computer vision ... Emerging Engineer (2-4 Years) * Hands-on experience applying algorithms, machine learning models ...

New

Analogic

Algorithm Engineer

Salem, NH · On-site

Academic, internship, research, or project experience in AI, machine learning, computer vision ... Emerging Engineer (2-4 Years) * Hands-on experience applying algorithms, machine learning models ...

New

3B Staffing LLC

Senior Machine Learning Engineer

Boston, MA

$113K - $155K/yr

Senior Machine Learning Engineer - Perception R&D Hybrid Contract C2C GC, USC Need Linkedin of 2 Active referrences Python, PyTorch, computer vision, deep learning (ViT/Transformers, self-supervised ...

3B Staffing LLC

Senior Machine Learning Engineer

Boston, MA · On-site

$113K - $155K/yr

Senior Machine Learning Engineer - Perception R&D Hybrid Contract C2C GC, USC Need Linkedin of 2 Active referrences Python, PyTorch, computer vision, deep learning (ViT/Transformers, self-supervised ...

Delsys

R&D Software Engineer (FT)

Natick, MA · On-site

$90K - $110K/yr

Software Engineers in this role will focus on building robust backend systems, embedded processing ... The position requires expertise in developing signal processing and computer vision pipelines ...

Magnendo Corp.

Robotics Engineer

Newton, MA · On-site

$110 - $170/hr

... computer vision and perception, androboticssimulation. This is a hands-on role for an engineer who ... wants to grow their depth across multiple technical domains while working alongside our Principal ...

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Showing results 21-40

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

Computer Vision Engineer information

See Malden, MA salary details

$50.6K

$126.7K

$143.4K

How much do computer vision engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for computer vision engineer in Malden, MA is $126,735.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,300.00 and $137,100.00 per year, depending on experience, location, and employer.

What is a computer vision engineer?

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 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 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 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.

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.

More about Computer Vision Engineer jobs

What are the most commonly searched types of Computer Vision Engineer jobs in Malden, MA?

The most popular types of Computer Vision Engineer jobs in Malden, MA are:

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For Computer Vision Engineer jobs in Malden, MA, the most frequently searched job titles are:

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The top searched job categories for Computer Vision Engineer jobs in Malden, MA are:

What cities near Malden, MA are hiring for Computer Vision Engineer jobs?

Cities near Malden, MA with the most Computer Vision Engineer job openings:

Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Malden, MA 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 $126,735 per year, or $60.9 per hour.

Lead Perception Engineer

ATI

Woburn, MA • On-site

$112K - $147K/yr

Full-time

Re-posted 27 days ago

Job description

About ATI:
Automated Tire (ATI) is on a mission to reinvent tire changing and wheel balancing using cutting-edge robotics. We are transforming a process that hasn't fundamentally changed in decades into an automated, high-performance system built for the future of automotive service.
Founded by experienced entrepreneurs and backed by leading players across the automotive and tire industries, ATI is building technology that will redefine how cars are serviced. Our team combines deep robotics expertise with real world deployment, moving fast from prototype to production and scaling solutions directly in the field.
This role offers an exciting opportunity to work at the forefront of robotics and industrial automation, applying cutting-edge AI and ML techniques to develop advanced vision control systems. If you are a perception or computer vision engineer with a passion for solving complex automation challenges, we encourage you to apply and become a key part of our innovative team.
Position Overview:
We are looking for a highly skilled and experienced Lead Perception Engineer with expertise leading a team of engineers solving difficult robotic perception challenges using both classical and machine learning (ML) approaches. The ideal candidate will have hands-on experience with developing solutions end to end, including evaluation of the problem, sensor selection, leading software development and evaluating the solution in the real world to ensure success.
Key Responsibilities:
  • Lead Technical Execution: Guide a team of engineers through the full development lifecycle, from initial concept, hardware selection and algorithm design to field deployment and maintenance. You will lead the team in the following work:
    • Integrate classical and ML image processing algorithms for classification, depth sensing, and 3D reconstruction.
    • Select the optimal sensors (e.g., LIDARs, time-of-flight cameras, stereo vision) for various applications.
    • Create AI and ML models to enhance object detection, classification, and tracking capabilities.
    • Utilize deep learning techniques to improve system accuracy and efficiency.
    • Conduct extensive testing, validation, and calibration to ensure system accuracy and reliability.
  • System Design: Design and maintain high-throughput perception pipelines, ensuring low latency and high reliability in real-time environments.
  • Active Debugging: Take a "hands-on" approach to identifying and resolving bottlenecks or failures in the perception stack, including hardware-software integration issues. Willingness to spend time on the shop floor or in the field to debug hardware-in-the-loop failures.
  • Code Quality & Mentorship: Drive high standards for code reviews, architectural design, and documentation while mentoring junior team members.
  • Collaboration: Work with cross-functional teams, including mechanical, system, mechatronic, software and software quality assurance engineers, and domain experts to ensure solutions are aligned and integrated with product goals.

Requirements
  • 8-10 years of professional software engineering experience in robotics, computer vision, or a closely related field.
  • At least 2-3 years of experience in a formal or informal leadership capacity, such as a Team Lead, Tech Lead, or Mentor, with a track record of guiding technical projects and junior engineers.
  • Strong foundation in robotics fundamentals, including coordinate transforms, sensor calibration, perception pipeline design, and system architecture.
  • Proven ability to perform hands-on, low-level debugging and systematic troubleshooting of complex robotic systems in real-world environments.
  • Expert-level proficiency in Python, C++ and/or Rust with a focus on writing production-grade, well-tested code for autonomous systems.
  • Demonstrated experience designing, implementing, testing, and optimizing vision solutions for robotic or automation applications.
  • Experience in building ML pipelines and optimizing/productizing ML models.
  • Proficiency in AI/ML frameworks (e.g. PyTorch) and computer vision libraries (e.g., OpenCV, PCL, Open3D, CUDA).
  • Familiarity with various depth sensing modalities (e.g., LiDAR, stereo vision, time-of-flight) and sensor fusion.
  • Excellent problem-solving skills, attention to detail, and ability to work in a dynamic environment.

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

Apply