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Senior Computer Vision Engineer Jobs in Buffalo, NY

acv

Machine Learning Engineer IV, Data

Buffalo, NY · On-site

$54 - $71.50/hr

... Engineer IV to join our ML inspection team ... In this role, you'll drive end-to-end computer vision solutions processing hundreds of thousands of ...

acv

Machine Learning Engineer IV, Data

Buffalo, NY · On-site

$54 - $71.50/hr

... Engineer IV to join our ML inspection team ... In this role, you'll drive end-to-end computer vision solutions processing hundreds of thousands of ...

Salas O'Brien

Senior Electrical Engineer

Buffalo, NY · On-site

Supervise, cordinate, and review work of Engineers, Designers, and CAD Operators * Develop ... Medical, dental, and vision insurance * 401(k) with company match * Paid time off and company ...

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All JobsComputer Vision Engineer JobsSenior Computer Vision Engineer JobsSenior Computer Vision Engineer Jobs in Buffalo, NY

Senior Computer Vision Engineer information

See Buffalo, NY salary details

$57.6K

$122.6K

$177.8K

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

As of Sep 2, 2026, the average yearly pay for senior computer vision engineer in Buffalo, NY is $122,591.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,200.00 and $139,000.00 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 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 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 most commonly searched types of Computer Vision Engineer jobs in Buffalo, NY?

The most popular types of Computer Vision Engineer jobs in Buffalo, NY are:

What are popular job titles related to Senior Computer Vision Engineer jobs in Buffalo, NY?

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

What job categories do people searching Senior Computer Vision Engineer jobs in Buffalo, NY look for?

The top searched job categories for Senior Computer Vision Engineer jobs in Buffalo, NY are:

What cities near Buffalo, NY are hiring for Senior Computer Vision Engineer jobs?

Cities near Buffalo, NY 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 Buffalo, NY as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 17% Part Time, 5% Contract, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $122,591 per year, or $58.9 per hour.

Senior CV ML Engineer - High-Throughput Damage Detection

BetterCloud

Buffalo, NY • On-site

$120 - $150/hr

Other

Posted 28 days ago

Job description

BetterCloud in Buffalo, NY, is seeking a Machine Learning Engineer III to enhance its ML inspection team focused on computer vision solutions. In this role, you'll drive the development of efficient damage detection models and robust data pipelines that perform well in production. The ideal candidate will have graduate-level education and several years of hands-on computer vision experience using frameworks like PyTorch and TensorFlow.

You will manage the model lifecycle and collaborate with business stakeholders to create production-grade solutions. This position directly impacts the capabilities of the inspection platform, emphasizing precision and performance.

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