Computer Vision Scientist

Job Title: Computer Vision Scientist

Job Overview: We are seeking a talented and motivated Computer Vision Scientist to join our team. As a Computer Vision Scientist, you will be at the forefront of developing advanced computer vision algorithms and solutions that contribute to our organization's innovative projects. Your expertise in image processing, machine learning, and deep learning will be essential in solving complex visual recognition challenges.

Responsibilities:

• Research, design, and develop state-of-the-art computer vision algorithms for image and video analysis.
• Collaborate with cross-functional teams to identify and define computer vision project requirements and objectives.
• Collect, preprocess, and curate large-scale visual datasets for training and evaluation.
• Develop and implement machine learning and deep learning models to solve specific computer vision tasks, such as object detection, segmentation, tracking, and recognition.
• Explore and experiment with various neural network architectures, loss functions, and optimization techniques to improve model performance.
• Implement and optimize algorithms for real-time and efficient processing of visual data.
• Conduct rigorous testing and evaluation of computer vision models, including benchmarking against existing methods and ground truth data.
• Stay current with the latest advancements in computer vision research and contribute to the organization's technical knowledge base.
• Collaborate with software engineers to integrate computer vision solutions into applications and products.

Qualifications:

• Master's or Ph.D. degree in Computer Science, Electrical Engineering, or a related field with a focus on computer vision.
• Proven experience in developing computer vision algorithms, with a strong portfolio showcasing successful projects and applications.
• Proficiency in programming languages such as Python or C++ for algorithm development and implementation.
• Strong understanding of computer vision principles, image processing techniques, and feature extraction methods.
• Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and computer vision libraries (e.g., OpenCV).
• Solid mathematical background in linear algebra, calculus, and optimization.
• Familiarity with popular computer vision datasets and evaluation metrics.
• Strong problem-solving skills and the ability to design innovative solutions to complex visual recognition challenges.
• Excellent communication skills to collaborate with technical and non-technical teams.
• Publication record in computer vision conferences and journals is a plus.

Join our dynamic team and contribute to cutting-edge computer vision research and development. If you're passionate about pushing the boundaries of visual recognition technology and driving innovation, we're excited to hear from you!