Sr. Computer Vision Engineer
2 weeks ago
Job Overview:
The Computer Vision Engineer will play a crucial role in developing and implementing state-of-the-art computer vision algorithms and systems. You will work closely with a multidisciplinary team of software engineers and researchers to create groundbreaking solutions that leverage computer vision technologies. From designing robust algorithms to optimizing performance for real-time applications, you will have the opportunity to tackle challenging problems and make a significant impact in the field of computer vision.
Responsibilities:
Design, develop, and implement computer vision algorithms and systems for various applications such as object detection, recognition, tracking, and image segmentation.
Conduct research to stay abreast of the latest advancements in computer vision and machine learning, and apply findings to enhance existing systems.
Collaborate with software engineers to integrate computer vision algorithms into production-level software applications.
Optimize algorithms for performance and scalability, ensuring efficient execution on various hardware platforms.
Evaluate and test the performance of computer vision systems using real-world data and metrics.
Work closely with cross-functional teams to understand requirements, prioritize tasks, and deliver solutions that meet project objectives.
Contribute to the development of technical documentation, including algorithm designs, specifications, and user manuals.
Stay informed about industry trends, emerging technologies, and best practices in computer vision and artificial intelligence.
Other duties as assigned.
Required Experience & Background:
Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or related field.
7-10 years’ experience in related field.
Solid understanding of computer vision fundamentals, including image processing, feature extraction, and machine learning techniques.
Proficiency in programming languages commonly used in computer vision development, such as Python, C/C++, and MATLAB.
Experience with popular computer vision libraries and frameworks, such as OpenCV, TensorFlow, and PyTorch.
Strong mathematical background, with knowledge of linear algebra, calculus, and probability theory.
Experience with deep learning techniques for computer vision tasks, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs).
Familiarity with GPU programming and parallel computing for acceleration of computer vision algorithms.
Excellent problem-solving skills and the ability to work independently as well as part of a team.
Effective communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.
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