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

HaloBraid

Senior Robotics Engineer

Cambridge, MA · On-site

$114K - $156K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Experience with computer vision, including system architecture, software development, integration ... Complementary engineering experience: * Electronics prototyping and design * Machine learning

AgZen

Senior Platform Engineer

Somerville, MA · On-site

$130K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Scale a growing network of computer vision systems embedded on sprayers around the world. * Ship ... engineering. * Proven skills architecting, implementing, and managing internal tools and platforms.

Winaxis

AI/ML Engineer

Boston, MA · On-site

$30 - $35/hr

Develop AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics ... Collaborate with data engineers, software developers, and business stakeholders to understand ...

Winaxis

AI/ML Engineer

Boston, MA · On-site

$124K - $149K/yr

Develop AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics ... Collaborate with data engineers, software developers, and business stakeholders to understand ...

Winaxis

AI/ML Engineer

Boston, MA · On-site

$124K - $149K/yr

Develop AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics ... Collaborate with data engineers, software developers, and business stakeholders to understand ...

Winaxis

AI/ML Engineer

Boston, MA · On-site

$32 - $35/hr

Develop AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics ... Collaborate with data engineers, software developers, and business stakeholders to understand ...

Winaxis

AI/ML Engineer

Boston, MA · On-site

$35 - $45/hr

Develop AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics ... Collaborate with data engineers, software developers, and business stakeholders to understand ...

Anduril Industries

Robotics Software Engineer

Boston, MA · On-site

$191K - $253K/yr

ABOUT THE JOB Robotics Engineers lead the delivery of vehicle perception and planning capability ... Utilize advanced techniques in computer vision, sensor fusion, and machine learning to enhance ...

Anduril Industries

Robotics Software Engineer

Boston, MA · On-site

$191K - $253K/yr

ABOUT THE JOB Robotics Engineers lead the delivery of vehicle perception and planning capability ... Utilize advanced techniques in computer vision, sensor fusion, and machine learning to enhance ...

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Showing results 41-60

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 Aug 16, 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 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 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 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 jobs near you
Infographic showing various Computer Vision Engineer job openings in Malden, MA as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $126,735 per year, or $60.9 per hour.

Senior Software Engineer, Perception (R5420)

Shield AI

Boston, MA • On-site

$163K - $244K/yr

Full-time

Posted 19 days ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

The Hivemind Solutions Perception team develops the next generation of perception capabilities for autonomous systems by combining state-of-the-art machine learning with the proven foundations of computer vision. The team advances how autonomous platforms understand and interpret the world by developing vision, vision-language (VLM), and vision-language-action (VLA) models that tackle core perception challenges such as object understanding, scene interpretation, and mission-relevant environmental awareness. Working at the intersection of research and production, our engineers build the data pipelines, supervised fine-tuning (SFT) workflows, evaluation frameworks, and deployment infrastructure needed to transform cutting-edge AI research into reliable, mission-ready perception capabilities.
 

In this role, you'll develop and deploy advanced machine learning models that solve real-world perception challenges for autonomous systems. You'll own major features from model development through deployment, working closely with machine learning researchers, perception engineers, autonomy engineers, and platform teams to bring cutting-edge AI capabilities into production. This is an ideal opportunity for engineers who enjoy solving difficult perception problems while building reliable, production-ready ML systems that operate on autonomous platforms in complex operational environments.

What You'll Do:

Model Development - Design, train, fine-tune, and maintain state-of-the-art vision, vision-language, and vision-language-action models that improve perception and decision-making for autonomous systems. 

Data Pipelines & Model Training - Build scalable data pipelines, supervised fine-tuning (SFT) workflows, and evaluation loops that continuously improve model performance on mission-relevant tasks. 

Model Deployment & Optimization - Deploy and optimize machine learning models for embedded hardware using technologies such as ONNX, TensorRT, and hardware-accelerated inference frameworks. 

Perception & Autonomy Applications - Apply modern machine learning techniques to solve challenging perception and autonomy problems across aerial and other autonomous systems operating in complex, real-world environments. 

Research-to-Production - Translate cutting-edge machine learning research into production-ready capabilities by balancing model performance, robustness, computational efficiency, and operational reliability. 

Cross-functional Collaboration - Partner closely with perception, autonomy, platform, and software engineering teams to integrate machine learning capabilities into mission-ready autonomous systems. 

Model Evaluation & Validation - Develop benchmarks, testing methodologies, and evaluation frameworks to measure model performance, identify failure modes, and guide future improvements. 

Continuous Improvement - Improve training infrastructure, developer tooling, deployment workflows, and model lifecycle management to accelerate experimentation and production delivery. 

Required Qualifications:

  • Typically requires a minimum of 5 years of related experience with a Bachelor's degree; or 4 years and a Master's degree; or 2 years with a PhD; or equivalent work experience.

  • Prioficiency of machine learning fundamentals. 

  • Experience training an deploying ML models for computer vision in a production setting. 

  • Strong understanding of 3D vision problems/algorithms. 

  • Experience with machine learning frameworks such as PyTorch and TensorFlow. 

  • Demonstrated expertise in deploying models using TensorRT and ONNX. 

  • Proficiency in C++ and Python. 

  • Strong analytical and problem-solving skills, with the ability to translate research into practical applications. 

  • Ability to obtain a SECRET clearance 
Preferred Qualifications:

  • Experience with developing autonomous systems for defense customers. 

  • Experience with training/finetuning vision-language models, vision-language-action models, and/or world models.  

  • Contributions to open-source projects in machine learning or computer vision. 

  • Track record of publications in leading computer vision and robotics conferences and journals (e.g., CVPR, ICCV/ECCV, RAL, ICRA).

$163,200 - $244,800 a year
#LI-DS-1
#LC

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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