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Senior Computer Vision Engineer Jobs in Massachusetts

STV Incorporated

Senior CAD Technician

Boston, MA · On-site

$92K - $105K/yr

Have an understanding of engineering and architectural documentation and construction, including ... • Vision insurance • Flexible Spending Accounts (Healthcare, Dependent Care and Transit and ...

STV

Senior CAD Technician

Boston, MA

$92K - $105K/yr

Have an understanding of engineering and architectural documentation and construction, including ... Vision insurance Flexible Spending Accounts (Healthcare, Dependent Care and Transit and Parking ...

Socket.dev

Senior CAD Design Engineer

Andover, MA · On-site

$120 - $160/hr

WHAT YOU'LL DO As a Senior Mechanical Engineer, you will be responsible for the following areas, with an emphasis on automation and process improvement: * Expert CAD Modeling and Detailing: Serve as ...

Socket.dev

Senior Embedded Software Engineer

Boston, MA · On-site

$140 - $160/hr

As a Senior Embedded Software Engineer on the TVision Meter Platform team, you will help define the ... Benchmark computer vision and deep learning workloads across multiple hardware platforms to drive ...

ASUS

Senior Machine Learning Engineer

Boston, MA · On-site +1

$161K - $246K/yr

The ASUS Robotics & AI Center is seeking a Senior Machine Learning Engineer to join our global ... This role centers on leading the design and delivery of advanced computer vision and perception ...

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All JobsComputer Vision Engineer JobsSenior Computer Vision Engineer JobsSenior Computer Vision Engineer Jobs in Massachusetts

Senior Computer Vision Engineer information

See Massachusetts salary details

$65K

$138.2K

$200.4K

How much do senior computer vision engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for senior computer vision engineer in Massachusetts is $138,216.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,100.00 and $156,700.00 per year, depending on experience, location, and employer.

What is a senior computer vision engineer?

Senior Computer Vision Engineers are experienced professionals who design, develop, and optimize computer vision algorithms and systems. They typically work on advanced projects involving image and video analysis, object detection, facial recognition, and related technologies. These engineers often lead teams, set technical direction, and collaborate with other departments to integrate computer vision solutions into products or services. Their role requires strong expertise in programming, machine learning, and mathematics, as well as staying current with the latest research in the field.

What are some common challenges faced by a senior computer vision engineer when deploying models to production environments?

One common challenge for Senior Computer Vision Engineers is ensuring that models perform reliably in real-world conditions, which often differ significantly from controlled training datasets. Handling variations in lighting, angles, and image quality can impact model accuracy, requiring ongoing data collection and retraining. Additionally, optimizing models for efficiency and latency is crucial when deploying to edge devices or cloud platforms, and collaboration with DevOps and software engineering teams is essential to integrate solutions seamlessly into production pipelines.

What is the difference between Senior Computer Vision Engineer vs Computer Vision Engineer?

AspectSenior Computer Vision EngineerComputer Vision Engineer
Required CredentialsBachelor's/Master's/PhD in CS, Electrical Engineering, or related field; experience in computer visionBachelor's or higher in relevant field; similar experience levels
Work EnvironmentAdvanced projects, mentorship roles, leadership responsibilitiesDevelopment and implementation of computer vision algorithms, research, and prototyping
Employer & Industry UsageTech companies, automotive, robotics, healthcareStartups, research labs, tech firms, manufacturing

The main difference between a Senior Computer Vision Engineer and a Computer Vision Engineer lies in experience and responsibilities. Senior roles typically involve leadership, mentorship, and complex project management, while standard roles focus on developing and implementing algorithms. Both positions require similar educational backgrounds and industry experience, but senior engineers often handle more strategic tasks and oversee projects.

What are the key skills and qualifications needed to thrive as a senior computer vision engineer?

To thrive as a Senior Computer Vision Engineer, you need a deep understanding of computer vision algorithms, strong programming skills (especially in Python or C++), and a background in mathematics or related fields, often supported by a master's or PhD. Proficiency with machine learning frameworks (such as TensorFlow, PyTorch, or OpenCV), and experience with version control systems are typically required. Exceptional problem-solving abilities, effective communication, and leadership skills help in collaborating with teams and driving innovation. These skills ensure the development of robust vision solutions, efficient project execution, and alignment with organizational goals.

What are the most commonly searched types of Computer Vision Engineer jobs in Massachusetts?

The most popular types of Computer Vision Engineer jobs in Massachusetts are:

What are popular job titles related to Senior Computer Vision Engineer jobs in Massachusetts?

For Senior Computer Vision Engineer jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Senior Computer Vision Engineer jobs in Massachusetts look for?

The top searched job categories for Senior Computer Vision Engineer jobs in Massachusetts are:

What cities in Massachusetts are hiring for Senior Computer Vision Engineer jobs?

Cities in Massachusetts with the most Senior Computer Vision Engineer job openings:

Senior Computer Vision Engineer jobs near you
Infographic showing various Senior Computer Vision Engineer job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $138,216 per year, or $66.5 per hour.

Machine Learning Engineer - Computer Vision & Robotics

Tycho.AI, Inc.

Cambridge, MA • On-site

$140 - $190/hr

Other

Posted 18 days ago

Job description

About Tycho.AI

Tycho.AI is redefining the future of autonomous intelligence. Spun out of MIT and backed by DoD contracts, we are building breakthrough AI and autonomy solutions for unmanned systems operating in GPS-denied and contested environments. We are a fast-growing, dual-use technology company at the forefront of national security and commercial innovation, with a mission to push the boundaries of what autonomous systems can achieve.

Joining Tycho.AI means being part of a team shaping the next decade of autonomy from defense applications to commercial opportunities in areas like logistics, disaster response, and beyond. If you want to work at the cutting edge of AI/ML and robotics with a company that’s poised for major impact and growth, we want to hear from you.

Responsibilities

  • Design and optimize ML models for computer vision and robotics under tight compute and memory budgets.

  • Build robust training and fine-tuning pipelines for large-scale datasets.

  • Compress, accelerate, and deploy models (quantization, distillation) for embedded accelerators (NPU/TPU/GPU delegates).

  • Profile and tune on-device inference pipelines for latency, throughput, and accuracy.

  • Write clean, efficient, and maintainable code across Python and/or C++.

  • Stay current on state-of-the-art ML techniques and efficient edge deployment research in autonomy and perception

Requirements

  • Bachelor’s or advanced degree in Computer Science, Engineering, or related field.

  • Hands‑on experience applying ML to computer vision and/or robotics.

  • Proficiency with PyTorch or TensorFlow.

  • Strong coding skills in Python or C++ (ideally both).

  • Experience deploying ML models and building training pipelines.

  • Familiarity with Git and collaborative software development practices.

Nice to Have:

  • CUDA kernel development and model optimization (quantization, pruning, distillation).

  • Experience with ONNX, TensorRT, or OpenVINO for deployment.

  • Robotics middleware (ROS2).

  • SLAM, 3D perception, or sensor fusion (LiDAR, IMU).

  • Real‑time or low‑latency inference pipelines.

Why Tycho.AI

  • Be part of a high calibre rapidly scaling startup defining the future of autonomous intelligence.

  • Make a difference, help create the software development culture and ecosystem you want to develop in.

  • Collaborative, high‑trust culture that values innovation, execution, and continuous learning.

  • Competitive salary, meaningful equity, and generous benefits package.

Equal Employment Opportunity (EEO) Statement: Tycho AI is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, or protected veteran status.

E‑Verify and Right to Work: Tycho AI participates in E‑Verify to confirm work authorization in the United States. Applicants must be authorized to work in the U.S. and may be subject to a government security clearance process.

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