Applied Scientist II, Prime Video Personalization and Discovery Science

Applied Scientist II, Prime Video Personalization and Discovery Science Prime Video & Amazon MGM Studios | Posted Mar 9 Full-time New York Advanced (5-10 yrs) Description 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. Are you interested in shaping the future of entertainment? Prime Video’s technology teams are creating best‑in‑class digital video experience. 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 Prime Video Tech takes you! Key job responsibilities Develop foundation models for content understanding using state‑of‑the‑art deep learning and multimodal learning techniques to analyze video, audio, and text Build time sequence foundation models to understand and predict customer behavior patterns and viewing trajectories Work closely with engineers and product managers to design, implement and launch solutions end‑to‑end across various Prime Video experiences Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in‑depth data analyses Effectively communicate technical and non‑technical ideas with teammates and stakeholders Stay up‑to‑date with advancements and the latest modeling techniques in foundation models, multimodal learning, and time series analysis Publish your research findings in top conferences and journals A day in the life We’re using advanced approaches such as foundation models to connect information about our videos and customers from a variety of information sources, acquiring and processing data sets on a scale that only a few companies in the world can match. This will enable us to recommend titles effectively, even when we don’t have a large behavioral signal (to tackle the cold‑start title problem). It will also allow us to find our customer’s niche interests, helping them discover groups of titles that they didn’t even know existed. We are looking for creative & customer obsessed machine learning scientists who can apply the latest research, state‑of‑the‑art algorithms and ML to build highly scalable page personalization solutions. You’ll be a research leader in the space and a hands‑on ML practitioner, guiding and collaborating with talented teams of engineers and scientists and senior leaders in the Prime Video organization. You will also have the opportunity to publish your research at internal and external conferences. About The Team Prime Video Recommendation Science team owns science solution to power recommendation and personalization experience on various Prime Video surfaces and devices. We work closely with the engineering teams to launch our solutions in production. Basic Qualifications PhD, or Master’s degree and 4+ years of CS, CE, ML or related field experience 3+ years of building models for business application 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 computing Preferred Qualifications Experience using Unix/Linux Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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. Our inclusive culture empowers Amazonians to deliver the best results for our customers. The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at USA, CA, Sunnyvale - 171,600.00 - 222,200.00 USD annually USA, NY, New York - 172,400.00 - 223,400.00 USD annually USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually Company - Amazon.com Services LLC Job ID: A3129475 #J-18808-Ljbffr Socket.dev