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Senior Computer Vision Engineer Jobs in New York

PhysicsX

Senior Computer Vision Data Scientist

New York, NY · On-site

$120K - $240K/yr

We are building an AI-driven simulation software stack for engineering and manufacturing across ... Senior Data Scientist - Computer Vision & Predictive Maintenance We are looking for a Senior Data ...

Motorola

Director of Computer Vision

New York, NY

The Director of Computer Vision will drive the technical vision, research and engineering execution ... distributed engineering and research organization of 50 to 100 people, mentor senior technical ...

Norbert Health

Computer Vision/ML Engineer

Brooklyn, NY

$117K - $138K/yr

Master's or PhD degree in Machine learning / Computer vision * Strong fundamentals: data structures, CV algorithms, and systems programming * Strong C++ skills - this is critical for our edge ...

Norbert Health

Computer Vision/ML Engineer

New York, NY · On-site

$122K - $143K/yr

Master's or PhD degree in Machine learning / Computer vision * Strong fundamentals: data structures, CV algorithms, and systems programming * Strong C++ skills - this is critical for our edge ...

Norbert Health

Computer Vision/ML Engineer

New York, NY · On-site

$122K - $143K/yr

Master's or PhD degree in Machine learning / Computer vision * Strong fundamentals: data structures, CV algorithms, and systems programming * Strong C++ skills - this is critical for our edge ...

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Mercor

Computer Vision MLE - Senior

New York, NY · Remote

$135/hr

Qualifications Must-Have * 5+ years in computer vision and ML engineering . * Experience classifying or grading physical objects from images. * Strong evaluation discipline in representative sampling ...

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Tt

AI & Computer Vision Intern

New York, NY · On-site

Thornton Tomasetti applies engineering and scientific principles to solve the world's challenges ... We have an opportunity for an AI & Computer Vision Intern for our Forensics Practice.

Kitware

3D Computer Vision Researcher

New York, NY · On-site

$125K - $170K/yr

Team Description: Kitware's computer vision team is a leader in the creation of cutting-edge ... Research and Development Engineers at Kitware also enjoy benefits commonly associated with a ...

RimePro Inc

Senior CAD Designer

Highland Park, NJ · Hybrid

$120K - $140K/yr

Summary We are currently representing a reputable civil engineering firm specializing in ... Full medical, dental, and vision coverage * 401(k) plan with company match * Paid vacation, sick ...

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All JobsSenior Computer Vision Engineer JobsSenior Computer Vision Engineer Jobs in New York

Senior Computer Vision Engineer information

See New York salary details

$65.1K

$138.5K

$200.8K

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

As of Jul 5, 2026, the average yearly pay for senior computer vision engineer in New York is $138,458.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,300.00 and $157,000.00 per year, depending on experience, location, and employer.

What are Senior Computer Vision Engineers?

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, and why are they important?

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 New York? The most popular types of Computer Vision Engineer jobs in New York are:
What are popular job titles related to Senior Computer Vision Engineer jobs in New York? For Senior Computer Vision Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Senior Computer Vision Engineer jobs in New York look for? The top searched job categories for Senior Computer Vision Engineer jobs in New York are:
What cities in New York are hiring for Senior Computer Vision Engineer jobs? Cities in New York 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 New York as of June 2026, with employment types broken down into 41% Full Time, 41% Part Time, 1% Temporary, and 17% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $138,458 per year, or $66.6 per hour.
Senior Computer Vision Engineer ID72408

Senior Computer Vision Engineer ID72408

AgileEngine

Manhattan, NY • On-site

$114K - $157K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description


AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
We are looking for a Senior Computer Vision Engineer to own applied model development across computer vision, machine learning, and data science use cases - building and deploying solutions for object detection, image segmentation, classification, and video analysis. You will evaluate and fine-tune model architectures using PyTorch and TensorFlow, build broader ML models for forecasting and anomaly detection, and apply practical knowledge of computer vision hardware including cameras, sensors, and edge devices.
WHAT YOU WILL DO
- Own the applied model development process across computer vision, AI/ML, and broader data science use cases;
- Translate complex business problems into viable, practical, and scalable AI/ML solutions;
- Evaluate various model options, train and fine-tune selected architectures, and rigorously analyze model performance;
- Develop and deploy solutions for object detection, image segmentation, image classification, and video analysis;
- Build and maintain models for time-series forecasting, anomaly detection, regression, clustering, and general data analysis;
- Apply practical knowledge of real-world constraints-such as lighting, sensor limitations, and edge device compute power-to ensure optimal data quality and robust model performance in production.
MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 3 to 5 years of professional experience in Computer Vision, Machine Learning, Data Science, or a related field;
- Degree in Computer Science, Engineering, Data Science, Mathematics, or a related discipline (or equivalent practical experience);
- Engineers located in the US must reside in Dallas, TX, and be open to working from the office (onsite);
- Strong, production-level proficiency in Python;
- Deep hands-on experience with leading deep learning frameworks, specifically PyTorch and/or TensorFlow;
- Proven track record of building and deploying models for detection, segmentation, classification, and image/video analysis;
- Solid understanding of broader ML and data science techniques (time-series modeling, forecasting, anomaly detection, regression, and clustering);
- Upper-intermediate English level.
NICE TO HAVES
- Practical experience working with computer vision hardware, including cameras, sensors, and lighting setups;
- Familiarity with deploying models on edge devices;
- Strong understanding of how physical and real-world constraints impact data quality, model training, and inference.
PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.

Apply