Key Responsibilities • Develop and optimize algorithms for intelligent image and video cropping, shot detection, video editing and video understanding. • Implement and refine object detection algorithms to enhance the accuracy and efficiency of image and video processing. • Conduct image saliency analysis to identify and highlight key features in images and videos. • Develop and integrate lens cut detection algorithms to automatically segment and analyze video content. • Utilize libraries such as OpenCV and FFmpeg for advanced image and video processing tasks. • Collaborate with cross-functional teams to integrate computer vision solutions into our product offerings. • Ensure seamless deployment and maintenance of image and video processing pipelines using CI/CD practices and tools like Jenkins. • Work with public cloud platforms (AWS, Alibaba Cloud) to manage and scale image and video processing infrastructure. Qualifications: • Bachelor’s degree in Computer Science, Electrical Engineering, or a related field. A Master’s or Ph.D. is a plus. • Proven experience (3 years) in computer vision, with a strong focus on image and video processing. • Hands-on experience with image and video processing libraries such as OpenCV and FFmpeg. • Proficiency in object detection algorithms, including but not limited to YOLO, SSD, and Faster R-CNN. • Experience with image saliency analysis and lens cut detection algorithms. • Strong background in cloud computing, especially with AWS and/or Alibaba Cloud. • Familiarity with CI/CD practices and tools such as Jenkins, Git, and Docker. • Excellent problem-solving skills and the ability to work independently and collaboratively. • Strong communication skills, both written and verbal, to effectively communicate technical concepts to non-technical stakeholders. Why Join Us? • Opportunity to work on cutting-edge AI solutions with real-world impact. • Collaborative, innovative culture with growth and mentorship opportunities. • Flexible work environment with a global, cross-functional team.