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

Computer Vision Engineer

Boston, MA ยท On-site

$121K - $142K/yr

Collaborate with robotics, controls, and systems engineers to integrate computer vision into robotic platforms. * Conduct experiments, evaluate performance, and refine algorithms for accuracy ...

Lead Perception Engineer

Woburn, MA ยท 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:

Lead Perception Engineer

Woburn, MA ยท 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:

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$126.7K

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How much do computer vision engineer jobs pay per year?

As of Jun 10, 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 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.
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:
What are popular job titles related to Computer Vision Engineer jobs in Malden, MA? For Computer Vision Engineer jobs in Malden, MA, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in Malden, MA look for? 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

Computer Vision Engineer

Merlin Labs

Boston, MA โ€ข On-site

$121K - $142K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 25 days ago


Job description

About Merlin:
Merlin is a venture backed aerospace startup building a non-human pilot to enable both reduced crew and uncrewed flight. Backed by some of the world's leading investors, Merlin is scaling alongside our customers to begin leveraging autonomy today to solve some of aviation's biggest challenges.

About You:ย 
You're a computer vision specialist who loves turning raw sensor data into actionable insights. You thrive at the intersection of algorithms, hardware, and real-world deployment-designing systems that can see, understand, and interact with the physical world. You're comfortable moving between high-level model development and low-level camera calibration, and you take pride in building robust solutions that work reliably outside the lab.
ย 
Responsibilities:
  • Develop and implement object detection and identification algorithms for real-time applications.
  • Design and optimize depth sensing and 3D mapping pipelines, integrating data from cameras and other sensors.
  • Specify, configure, and calibrate camera systems, including selection of optics, sensors, and hardware.
  • Develop tools and processes for camera calibration, synchronization, and data acquisition.
  • Fuse data from multiple cameras/sensors to improve accuracy and robustness in perception systems.
  • Collaborate with robotics, controls, and systems engineers to integrate computer vision into robotic platforms.
  • Conduct experiments, evaluate performance, and refine algorithms for accuracy, efficiency, and scalability.
Qualifications:
  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or related field.
  • Strong experience with computer vision algorithms (object detection, tracking, identification, SLAM).
  • Proficiency in depth sensing and 3D reconstruction techniques (stereo vision, structured light, ToF, LiDAR integration).
  • Hands-on experience with camera setup, specification, and calibration (intrinsic/extrinsic, distortion models, multi-camera rigs).
  • Proficiency with computer vision libraries and frameworks (OpenCV, PyTorch/TensorFlow, CUDA).
  • Experience developing in C++ and/or Python for high-performance vision applications.
  • Strong understanding of camera hardware and imaging pipelines.
  • Ability to design experiments, analyze results, and iterate quickly in a collaborative engineering environment.
Nice to Haves:
  • Experience with ROS/ROS2 integration for robotic vision.
  • Familiarity with real-time embedded systems or GPU optimization.
  • Knowledge of multi-sensor fusion (IMU, LiDAR, radar) for perception.
  • Background in calibration automation and large-scale data collection pipelines.
This position is based on-site at Merlin HQ in Boston, MA.

Once you're here, you'll enjoy a variety of on-site perks designed to make your workday enjoyable and convenient. These include catered lunches featuring a rotating menu of delicious options, an assortment of snacks to keep you fueled throughout the day, and a selection of beverages, including coffee, tea, and other drinks, to keep you refreshed.

Our goal is to create an environment where you can thrive both professionally and personally

Merlin Labs offers an innovative, entrepreneurial, and team-focused startup environment. We also offer a top-notch benefits package (health, dental, life, unlimited vacation, and 401k with match) and work/life integration. Being part of the Merlin team allows you to become part of a small team that supports professional development while working together to achieve our mission.

Merlin Labs is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, genetic information, sex (including pregnancy), gender, gender identity and expression, sexual orientation, age, marital status, military service or obligation or disability status, or any other characteristic protected by law. All job offers are contingent upon the candidate passing background and reference checks.

At this time, we are unable to provide visa sponsorship or consider candidates who require visa transfers. Applicants must be authorized to work in the United States without the need for visa sponsorship now or in the future.ย 

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to: [emailย protected]

Merlin Labs does not accept unsolicited resumes from any source other than directly from candidates.
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