Applied Scientist, Prime Video - Content Generation Team

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Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports - including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.<br><br>Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.<br><br>As a Prime Video team member, you'll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You'll get to work on projects that are fast-paced, challenging, and varied. You'll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.<br><br>We'll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!<br><br>Key job responsibilities<br><br>As an Applied Scientist at Prime Video, you will have end-to-end ownership of the product, related research and experimentation, applying advanced machine learning techniques in computer vision (CV), Generative AI, natural language processing (NLP), multimedia understanding and so on. You'll work on diverse projects that enhance Prime Video's content localization, content generation, image/video understanding, and content personalization, driving impactful innovations for our global audience. Other responsibilities include:<br>• Lead research in computer vision and natural language processing, applying it to video-centric media challenges.<br>• Develop scalable machine learning models to enhance media asset generation, content discovery, and personalization.<br>• Collaborate closely with engineering teams to integrate your models into production systems at scale, ensuring optimal performance and reliability.<br>• Actively participate in publishing your research in leading conferences and journals.<br>• Stay up-to-date with the latest advancements in AI and machine learning to drive future research initiatives.<br><br><b>BASIC QUALIFICATIONS</b><br><br>- 3+ years of building models for business application experience<br><br>- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience<br><br>- Experience programming in Java, C++, Python or related language<br><br>- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing<br><br><b>PREFERRED QUALIFICATIONS</b><br><br>- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF<br><br>- Experience in patents or publications at top-tier peer-reviewed conferences or journals<br><br>Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br><br>Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br><br>Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.<br><br>Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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