Computer Vision Engineer

Placements24; Willows (CA); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Stock options

Flexible remote work

Health insurance

Home office stipend

Job summary

Placements24 is seeking a Computer Vision Engineer to join our remote, AI-focused team. You will develop, train, and deploy advanced CV models for object detection, segmentation, and recognition, processing large image/video datasets and integrating models into broader systems.

The role emphasizes cutting-edge research, clean code, and collaboration with software engineers, with opportunities for impact across next-gen products in a flexible remote environment.

Qualifications

• Master's or PhD in Computer Science, Electrical Engineering, or a related field with a focus on computer vision.
• Proven experience in developing and deploying computer vision models using frameworks like OpenCV, TensorFlow, or PyTorch.
• Strong understanding of image processing techniques, pattern recognition, and machine learning algorithms.
• Proficiency in Python and C++.
• Experience with GPU computing and parallel processing is a plus.
• Excellent problem-solving skills and the ability to work effectively in a remote, collaborative setting.

Responsibilities

• Develop, train, and optimize deep learning models for computer vision tasks such as object detection, image segmentation, and facial recognition.
• Implement and deploy computer vision algorithms in real-time applications.
• Process and analyze large datasets of images and videos to extract meaningful information.
• Collaborate with software engineers to integrate CV models into larger systems and products.
• Conduct research on novel computer vision techniques and stay updated with the latest advancements.
• Write clean, efficient, and well-documented code for various computer vision projects.

Skills

Python

C++

Remote collaboration

Problem-solving

Image processing

Machine learning basics

Education

Master's or PhD in Computer Science or Electrical Engineering with CV focus

Tools

OpenCV

TensorFlow

PyTorch

Job description

About the Role

Our client is at the cutting edge of AI and Emerging Technologies, particularly in the field of computer vision. They are seeking a talented Computer Vision Engineer to join their innovative team, working remotely. This role is crucial for developing and implementing advanced visual recognition and analysis systems that will power their next generation of products. You will contribute to projects that involve complex image and video data processing, aiming to create intelligent systems that can 'see' and interpret the world. This is a fantastic opportunity for a skilled engineer to work on impactful projects from anywhere, contributing to breakthroughs in a rapidly evolving field.

Key Responsibilities

• Develop, train, and optimize deep learning models for computer vision tasks such as object detection, image segmentation, and facial recognition.
• Implement and deploy computer vision algorithms in real-time applications.
• Process and analyze large datasets of images and videos to extract meaningful information.
• Collaborate with software engineers to integrate CV models into larger systems and products.
• Conduct research on novel computer vision techniques and stay updated with the latest advancements.
• Write clean, efficient, and well-documented code for various computer vision projects.

Requirements

• Master's or PhD in Computer Science, Electrical Engineering, or a related field with a focus on computer vision.
• Proven experience in developing and deploying computer vision models using frameworks like OpenCV, TensorFlow, or PyTorch.
• Strong understanding of image processing techniques, pattern recognition, and machine learning algorithms.
• Proficiency in Python and C++.
• Experience with GPU computing and parallel processing is a plus.
• Excellent problem-solving skills and the ability to work effectively in a remote, collaborative setting.

Benefits

• Highly competitive salary and potential for stock options.
• Flexible remote work environment with support for home office setup.
• Comprehensive health, dental, and vision insurance coverage.
• Generous paid time off and flexible working hours.
• Access to cutting-edge technology and challenging projects.