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.