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Online Computer Vision Jobs in Wayne, NJ (NOW HIRING)

Computer Vision/ML Engineer

Brooklyn, NY · On-site

$121K - $142K/yr

They are seeking a lead deep learning engineer to develop computer vision models and optimize them for real-time inference on edge devices. Responsibilities : • Design, fine-tune, and deploy ...

Computer Vision/ML Engineer

Brooklyn, NY · On-site

$121K - $142K/yr

Responsibilities : • Design, fine-tune, and deploy computer vision models (YOLO, InsightFace, MediaPipe, facial landmark detection, object tracking, pose estimation) for real-time inference on the ...

Computer Vision/ML Engineer

Brooklyn, NY

$117K - $138K/yr

Design, fine-tune, and deploy computer vision models (YOLO, InsightFace, MediaPipe, facial landmark detection, object tracking, pose estimation) for real-time inference on the edge * Optimize models ...

Computer Vision/ML Engineer

New York, NY · On-site

$122K - $143K/yr

Design, fine-tune, and deploy computer vision models (YOLO, InsightFace, MediaPipe, facial landmark detection, object tracking, pose estimation) for real-time inference on the edge * Optimize models ...

Computer Vision/ML Engineer

Brooklyn, NY · On-site

$117K - $138K/yr

Design, fine-tune, and deploy computer vision models (YOLO, InsightFace, MediaPipe, facial landmark detection, object tracking, pose estimation) for real-time inference on the edge * Optimize models ...

We have developed a fully integrated grab-and-go retail store enabled by computer vision, which we are now deploying with major brands around the world. We are looking for engineers and data ...

We have developed a fully integrated grab-and-go retail store enabled by computer vision, which we are now deploying with major brands around the world. We are looking for engineers and data ...

From computer vision models that understand what is happening inside an oven to embedded AI systems that make real-time cooking decisions, you will help define how machine learning is applied within ...

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Online Computer Vision information

See Wayne, NJ salary details

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How much do online computer vision jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for online computer vision in Wayne, NJ is $16.78, according to ZipRecruiter salary data. Most workers in this role earn between $15.48 and $17.16 per hour, depending on experience, location, and employer.

What is an online computer vision specialist?

An Online Computer Vision specialist is a professional who designs and implements computer vision algorithms and systems that process images or videos in real-time over the internet or cloud platforms. Their work often involves developing applications for object detection, facial recognition, image classification, and video analysis that operate efficiently in online or streaming environments. These specialists need strong skills in programming, machine learning, and computer vision frameworks, and they often collaborate with data scientists and software engineers to deploy scalable solutions. Online Computer Vision is commonly used in industries such as security, healthcare, retail, and autonomous vehicles.

What are the key skills and qualifications needed to thrive as an online computer vision engineer?

To excel as an Online Computer Vision Engineer, you need a solid background in computer science, machine learning, and image processing, typically supported by a relevant degree. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), experience with OpenCV, and proficiency in programming languages like Python or C++ are crucial. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These competencies enable the development of accurate, scalable computer vision solutions that drive innovation in real-time, online environments.

What are some common challenges faced by professionals working in online computer vision roles?

Professionals in online computer vision often encounter challenges such as processing large volumes of visual data in real-time and ensuring high accuracy in diverse and unpredictable environments. They must also address latency and bandwidth constraints when deploying models over the internet, and regularly update algorithms to keep up with evolving data patterns. Collaboration with data engineers, software developers, and product teams is essential to integrate vision solutions into scalable systems and deliver user-centric results.

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

AspectOnline Computer VisionComputer Vision Engineer
Required CredentialsBachelor's or Master's in Computer Science, AI, or related fields; knowledge of machine learning and programmingBachelor's or Master's in Computer Science, AI, or related fields; strong programming skills in Python, C++, and experience with deep learning frameworks
Work EnvironmentRemote or online platforms, project-based tasks, often freelance or contract rolesOffice or remote, involved in developing and deploying computer vision models within teams
Employer & Industry UsageTech companies, startups, research labs focusing on AI applicationsTech firms, R&D departments, startups working on AI and image processing solutions

Online Computer Vision roles typically focus on applying computer vision techniques in online or remote settings, often involving freelance or project-based work. In contrast, Computer Vision Engineers are more involved in developing, implementing, and maintaining computer vision systems within organizations. Both roles require similar educational backgrounds but differ in work environment and scope of responsibilities.

Infographic showing various Online Computer Vision job openings in Wayne, NJ as of June 2026, with employment types broken down into 49% Full Time, 37% Part Time, 8% Contract, and 6% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $34,910 per year, or $16.8 per hour.

Computer Vision/ML Engineer

Brooklyn, NY • On-site

Norbert Health
Fitness and Sports Centers • 11 - 50 employees

$121K - $142K/yr

Full-time

Re-posted 20 days ago


Job description

Job Summary:
Norbert Health is building autonomous robots that deliver healthcare, focusing on AI sensing technology for patient monitoring. They are seeking a lead deep learning engineer to develop computer vision models and optimize them for real-time inference on edge devices.
Responsibilities:
• Design, fine-tune, and deploy computer vision models (YOLO, InsightFace, MediaPipe, facial landmark detection, object tracking, pose estimation) for real-time inference on the edge
• Optimize models for embedded deployment using quantization, pruning, TensorRT, and NVIDIA Triton
• Build and maintain MLOps pipelines for model training, validation, and performance monitoring
• Develop video processing pipelines that integrate with both classical signal processing and ML based vital sign extraction
• Establish engineering best practices and help reduce technical debt as we scale
• Contribute to the architecture and implementation of the computer vision stack from research to production
Qualifications:
Required:
• 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 deployment pipeline
• Solid Python proficiency for ML experimentation and tooling
• Ability to work independently, solve complex problems, and drive projects to completion
• 5+ years experience deploying computer vision models to production, ideally on resource-constrained devices
• Experience with PyTorch and model optimization for edge AI
• Proven ability to take models from research to production on embedded hardware
Preferred:
• Experience with NVIDIA Jetson platform, TensorRT, or Triton Inference Server
• MLOps experience (experiment tracking, model versioning, performance monitoring)
• Experience with sensor fusion (RGB, IR, depth cameras)
• Background in medical devices, regulated environments, or healthcare applications
• Experience working in fast-moving early-stage environments
Company:
Norbert Health develops a home medical pod that monitors the health of families using contactless sensors. Founded in 2019, the company is headquartered in Brooklyn, USA, with a team of 11-50 employees. The company is currently Early Stage.