Senior Video Scientist, Live Compression Efficiency

$143,300 - $247,600/Yr

Amazon.com - Seattle, WA

Full-time - Mid Level

Seattle, WA

General Merchandise Retailers

About the position

Are you interested in revolutionizing the way people around the world enjoy live sports video? Come and join us and be part of the Prime Video Playback team. As a video scientist, you will drive novel live encoding optimization to ensure the best live sports streaming experience delivered to millions of global customers. You will utilize the state-of-the-art computer vision and machine learning techniques to achieve content adaptive live sports encoding to maximize quality per bits at Amazon scale. Additionally, you will innovate in video quality measurement, video content analysis, and video compression technologies to lead the video industry/community.

Responsibilities

• Get familiar with the latest development and advances in video processing, video compression, and computer vision and machine learning to video understanding and analysis.
• Build research prototypes in live sports video content analysis, objective and subjective video quality measurement, and content-adaptive live video encoding.
• Document and present technical proposals and implementations to both internal and external stakeholders and partners.
• Work closely with engineering and product team to prioritize technology prototyping, productization and deployment.
• Research and prototype innovative ideas in live sports content analysis, quality measurement, and content-adaptive live video encoding.
• Drive technical approach and innovation via proof-of-concept prototyping, paper/report writing, technical presentations and patent filing.
• Collaborate with and influence product and engineering teams for technology productization and deployment.

Requirements

• 3+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience.
• PhD, or Master's degree and 5+ years of quantitative field research experience.
• Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
• Experience communicating qualitative research methods and findings to non-qualitative researchers.

Nice-to-haves

• Experience converting research studies into tangible real-world changes.
• Experience with discrete and continuous optimization methodologies and algorithms.

Benefits

• Equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package.
• Full range of medical, financial, and/or other benefits.