.Computer Vision Engineer

myBridge Corporation; San Diego (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

myBridge Corporation is seeking a Computer Vision Engineer to design and implement AI-powered visual systems that interpret images and videos for applications across autonomous vehicles, healthcare, manufacturing, and security. You will build and deploy models, manage datasets, and collaborate with researchers and engineers to scale production-ready CV solutions.

The role emphasizes building robust, scalable pipelines, optimizing inference speed, and contributing to ongoing research directions.

Qualifications

• Experience building computer vision models and deployment pipelines.
• Dataset collection and labeling experience.
• Experience with deep learning frameworks and production deployment.

Responsibilities

• Develop image and video understanding systems.
• Train and optimize CNN-based models.
• Evaluate model performance and iterate to improve accuracy and speed.
• Collaborate with researchers, software developers, and product teams to deliver AI-powered visual solutions.
• Deploy AI models into production environments.

Skills

Python

OpenCV

TensorFlow

PyTorch

Image Processing

Computer Vision

CNNs

Mathematics

C++

Education

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Robotics, Electrical Engineering, or related field

Job description

A Computer Vision Engineer develops AI-powered systems capable of interpreting images and videos for applications such as autonomous vehicles, healthcare, manufacturing, and security.

Skills Required

• Python
• OpenCV
• TensorFlow
• PyTorch
• Image Processing
• Computer Vision
• CNNs
• Mathematics
• C++

Education

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Robotics, Electrical Engineering, or related field.

Description

Computer Vision Engineers build intelligent systems that enable computers to understand and analyze visual information. They develop image classification models, facial recognition systems, object detection algorithms, and video analytics solutions using deep learning frameworks and computer vision libraries. The role involves collecting datasets, training neural networks, evaluating model performance, optimizing inference speed, and deploying AI models into production. Engineers collaborate with researchers, software developers, and product teams to create innovative visual AI solutions. Career advancement includes Senior Computer Vision Engineer, AI Architect, Machine Learning Engineering Manager, and Director of AI Engineering.

Philadelphia, Pennsylvania, United States