Remote Lead Computer Vision Engineer

Description:

• Lead a team of computer vision engineers in developing and deploying advanced computer vision algorithms and systems.
• Design and architect computer vision solutions for scalability, reliability, and performance.
• Develop and implement advanced computer vision algorithms for tasks like object detection, image classification, and semantic segmentation.
• Train and evaluate computer vision models using large-scale datasets for optimal performance.
• Deploy computer vision models into production environments with seamless integration.
• Optimize performance using techniques like parallel processing, GPU acceleration, and model quantization.
• Collect, preprocess, and annotate image and video data for training computer vision models.
• Collaborate with cross-functional teams to deliver end-to-end computer vision solutions.
• Stay updated on the latest advancements in computer vision research and technology for innovation.

Requirements:

• Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.
• 7+ years of experience in computer vision engineering with a track record of developing and deploying solutions.
• Leadership experience in mentoring engineering teams.
• Proficiency in Python, C++, or MATLAB, and expertise in computer vision libraries like OpenCV, TensorFlow, or PyTorch.
• Strong understanding of computer vision algorithms, deep learning architectures, and image processing techniques.
• Excellent problem-solving skills and analytical thinking.
• Exceptional communication and collaboration skills.

Benefits:

• Competitive salary ranging from $200,000 to $300,000 per year.
• Comprehensive health, dental, and vision insurance plans.
• Flexible work hours and remote work options.
• Generous vacation and paid time off.
• Professional development opportunities including training programs and conferences.
• State-of-the-art technology environment with cutting-edge tools.
• Vibrant and inclusive company culture with growth opportunities.
• Exciting projects with real-world impact in computer vision innovation.