Amazon
Applied Scientist, Prime Video
Amazon, Seattle, Washington, us, 98127
Prime Video offers customers a vast collection of movies, series, and sports—all available to watch on hundreds of compatible devices. U.S. Prime members can also subscribe to 100+ channels including Max, discovery+, Paramount+ with SHOWTIME, BET+, MGM+, ViX+, PBS KIDS, NBA League Pass, MLB.TV, and STARZ with no extra apps to download, and no cable required. Prime Video is just one of the savings, convenience, and entertainment benefits included in a Prime membership. More than 200 million Prime members around the world enjoy access to Amazon’s enormous selection, exceptional value, and fast delivery.Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experiences.As a Prime Video technologist, 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.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 at Prime Video Tech takes you!Key job responsibilities
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), natural language processing (NLP), multimedia understanding, and so on. You’ll work on diverse projects that enhance Prime Video’s recommendation systems, image/video understanding, and content personalization, driving impactful innovations for our global audience. Other responsibilities include:Lead cutting-edge research in computer vision and natural language processing, applying it to video-centric media challenges.Develop scalable machine learning models to enhance media asset generation, content discovery, and personalization.Collaborate closely with engineering teams to integrate your models into production systems at scale, ensuring optimal performance and reliability.Actively participate in publishing your research in leading conferences and journals.Lead a team of skilled applied scientists, shape the research strategy, create forward-looking roadmaps, and effectively communicate progress and insights to senior leadership.Stay up-to-date with the latest advancements in AI and machine learning to drive future research initiatives.BASIC QUALIFICATIONS
- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computingPREFERRED QUALIFICATIONS
- Experience using Unix/Linux- Experience in professional software development- Have publications at top-tier peer-reviewed conferences or journalsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Compensation:
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 $222,200/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. 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.Posted:
November 12, 2024
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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), natural language processing (NLP), multimedia understanding, and so on. You’ll work on diverse projects that enhance Prime Video’s recommendation systems, image/video understanding, and content personalization, driving impactful innovations for our global audience. Other responsibilities include:Lead cutting-edge research in computer vision and natural language processing, applying it to video-centric media challenges.Develop scalable machine learning models to enhance media asset generation, content discovery, and personalization.Collaborate closely with engineering teams to integrate your models into production systems at scale, ensuring optimal performance and reliability.Actively participate in publishing your research in leading conferences and journals.Lead a team of skilled applied scientists, shape the research strategy, create forward-looking roadmaps, and effectively communicate progress and insights to senior leadership.Stay up-to-date with the latest advancements in AI and machine learning to drive future research initiatives.BASIC QUALIFICATIONS
- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computingPREFERRED QUALIFICATIONS
- Experience using Unix/Linux- Experience in professional software development- Have publications at top-tier peer-reviewed conferences or journalsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Compensation:
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 $222,200/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. 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.Posted:
November 12, 2024
#J-18808-Ljbffr