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Now, more than ever, Technology needs to respond quickly to turn market disruptions into opportunities for our world-class brand. To achieve this, we must continue to develop our Enterprise Analytics, Data Science & Machine Learning capabilities and team to ensure we’re maximizing the power of the Nike enterprise in the analytics/machine learning space and managing data as a competitive advantage. If you’re ready to innovate and be a driving force for building solutions in Enterprise Data and Analytics organization, come join us now! You will be part of an organization that is revolutionizing Nike technology platforms and architecting a data and analytics landscape that is simplified, modern, flexible and will ultimately enable Nike on its journey to beyond. 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.