Computer Vision Engineer developing real-time low latency video camera software for broadcasting applications. Focus on image processing and integration in resource-constrained environments.
Responsibilities
Develop and implement computer vision algorithms for tasks such as image segmentation, object detection and image classification.
Integrate computer vision algorithms (internal and external) and models into real-time broadcasting applications
Collect, and annotate datasets of images or videos for training and evaluation of computer vision models.
Train, fine-tune, and optimize computer vision models using machine learning frameworks and deep learning libraries.
Evaluate the function and performance of computer vision models using appropriate metrics and benchmarks.
Build virtual camera drivers to enhance video output for streaming platforms.
Stay updated on emerging technologies, trends, and advancements in computer vision through research and experimentation.
Requirements
Bachelor’s or master’s degree in computer science, or a related field
Proven experience in developing and implementing computer vision algorithms and AI models
Proficiency in programming languages such as Python or C++
Familiarity with computer vision libraries such as OpenCV
Strong problem-solving skills and attention to detail
Excellent communication and teamwork abilities
Benefits
Opportunity to make an impact globally
Opportunity for personal and professional growth
#LifeAtRazer experience
Job title
Computer Vision Engineer, C++ – Camera and Video Processing
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