.Computer Vision Engineer

myBridge Corporation; San Diego (CA); On-site; USD 110,000 - 170,000; Full time

Job summary

myBridge Corporation is seeking a Computer Vision Engineer to develop AI-powered systems that interpret images and videos for autonomous vehicles, healthcare, manufacturing and security. You will build image classification, facial recognition, and object detection models with PyTorch and TensorFlow, collect datasets, train networks, evaluate performance, and optimize inference speed for production.

Collaborations with researchers, software engineers and product teams enable innovative visual AI

Qualifications

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

Responsibilities

• Collect datasets for training computer vision models.
• Train neural networks for visual tasks and domains.
• Evaluate model performance and iterate on improvements.
• Optimize inference speed for production deployments.
• Deploy AI models into production and collaborate with teams.

Skills

Python

OpenCV

TensorFlow

PyTorch

Image Processing

Computer Vision

CNNs

Mathematics

C++

Education

BSc or MSc in Computer Science, AI, Robotics 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