Amazon Principal Applied Scientist Live Playback Operations 

United States, Washington, Seattle 

857023410

Key job responsibilities
The Playback Development & Operations Principal Scientist is a subject matter expert recognized as a thought leader in a particular science discipline at a global level. For instance, you serve as an Area Chair at peer-reviewed conferences or as a senior program committee member. The role requires connection with internal and external research groups and you are expected to be active in the academic community and have relationships with multiple universities. Your track record includes research, publications, or intellectual property, and application of that domain expertise into real-world problems. The role expects that you will continue to publish in top-ranking journals and present at leading conferences. As a trusted advisor to senior leadership, you are an expert in state-of-the-art methodologies in at least one area of computer science, natural language processing, computer vision, video signal processing, Gen AI, content distribution, networking or other similar topics.As the senior science leader in a large organization, you will develop talent in Prime Video, through involvement in the hiring process, annual evaluations, and promotion assessments. You will develop other science leaders and have a background of growing multiple other experts to an advanced level, perhaps as a PhD advisor or as an industry leader. You have prior experience of getting technology across the line, and have written critical path code or algorithms in the past, and you could be hands on and own most complex and key algorithms when necessary. You understand the concerns of both software engineers and are familiar with research methods used in modern science. In current and previous roles, you have examples where you delivered scientifically complex solutions into production that are innovative and impactful. You can articulate those problems clearly, communicating core science concepts simply, and the resulting benefits.You are up to date with modern trends in compute science. You can speak confidently and influence opinion both at VP level and with junior engineers on the application and opportunities of Machine Learning and Generative AI. You are familiar and have hands-on experience using large language models, transformer architectures, and recent innovations. Ideally, you are also familiar with an aspect of audio-video signal processing, computer vision, or networking/media distribution technology and research.You will prepare and deliver artifacts that set the standard for Prime Video science leadership and engineering excellence. Your science writing and where applicable algorithms, analysis, and research results serve as example within the organization. The research you lead and influence will have results that are demonstrated in service/product features and efficiencies in operations. You collaborate effectively with other leaders to get things done. Your involvement makes science easier to generate impact and saves effort for the organization as a whole to progress our objectives. You do that through advising senior leaders and bringing understanding to complex subjects. You move fast, both to resolve ambiguity and bring innovative solutions to intrinsically hard, previously unsolved problems. To do that, you identify opportunities and convince other leaders by bringing them along with your ideas. You use metrics, data, and analysis to make informed decisions. You lead research that takes balanced risks that inform our future. You not only dive into the immediate pain points but also set the long term science roadmap and vision for the next 3-5 years.Seattle, WA, USA

* PhD with applied research experience in Computer Science or in 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 of building machine learning models for business application
* Background of programming in Java, C++, Python or related language
* 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

* Working knowledge of computer vision/image processing and audio/video technology. Experience with digital signal processing and/or video compression, media distribution and networking technologies.
* 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.