Sr Computer Vision Engineer

Job Title: Sr
Computer Vision Engineer
Location: US-Remote

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. Qualifications:
•  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. Please send resumes to