Principal Scientist

3 weeks ago


Seattle, Washington, United States Amazon Full time

Job Description

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As a Principal Applied Scientist, Live Playback and Operations at Amazon, you will play a critical role in shaping the future of video delivery. You will be responsible for driving innovation across various specialist areas, including the use of Artificial Intelligence (AI) for routing content through our vast video delivery network, optimization of video operations, automation of signal processing, identification of defects and anomalies, predicting granular delivery capacity needs using public and private data, and much more.

About Us

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Amazon is committed to being the world's most customer-centric company where people can find and discover anything they might want to buy online. We are looking for talented individuals who share our passion for innovation and customer obsession. Our team is dedicated to delivering exceptional video experiences to millions of customers around the world.

What You'll Do

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As a Principal Applied Scientist, you will be responsible for:

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  • Developing and leading research projects to drive innovation in video delivery.">
  • Collaborating with cross-functional teams to develop and implement new technologies.">
  • Driving the adoption of cutting-edge technologies to improve video delivery.">
  • Working closely with our Director of the organization to steer our science strategy.">
  • Spotting opportunities, connecting with science and engineering leaders across Amazon, and bringing industry and university research context into the organization.">
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Requirements

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To be successful in this role, you will need:

BASIC QUALIFICATIONS

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  • A PhD in Computer Science or a highly quantitative field.">
  • Evidence of science/engineering publications in relevant journals or conferences with more than one as first author.">
  • Examples of sourcing funding/creating research relationships with universities or other institutions.">
  • Experience building machine learning models for business application.">
  • Background of programming in Java, C++, Python, or related languages.">
  • Theoretical understanding of broad machine learning concepts, with deep and demonstrable expertise in at least one topic or application of machine learning.">
  • Conversant with current approaches to generative AI, large language models, and their applications.">
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PREFERRED QUALIFICATIONS

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  • Working knowledge of computer vision/image processing and audio/video technology.">
  • Experience developing and protecting intellectual property such as patents and interacting with legal teams.">
  • Connections, contributions, and leading involvement with Academic/Professional Institutions/Industry groups/Standards Bodies/Conferences.">
  • Experience developing science talent either in academia as a PhD advisor or in industry as a senior leader.">
  • Hands-on experience with popular deep learning frameworks such as MxNet and Tensor Flow.">
  • Prior work experience as an applied scientist or engineer at a technology company.">
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Benefits

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We offer a total compensation package that includes equity, sign-on payments, and other forms of compensation in addition to medical, financial, and other benefits. Our compensation reflects the cost of labor across several US geographic markets, and pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.



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