Sr. Applied Scientist, Prime Video - Personalization and Discovery Science

Sr. Applied Scientist, Prime Video – Personalization and Discovery Science Job ID: 10406954 | Amazon.com Services LLC 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. 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 research findings in top conferences and journals. Basic Qualifications 3+ years of building machine learning models for business application experience. PhD or Master’s degree and 6+ years of applied research experience. Experience programming in Java, C++, Python, or related language. Experience with neural deep learning methods and machine learning. Preferred Qualifications Experience with modeling tools such as R, scikit‑learn, Spark MLLib, MxNet, TensorFlow, NumPy, SciPy, etc. Experience with large‑scale distributed systems such as Hadoop, Spark, etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. LosAngeles County applicants: Job duties for this position include working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence; communicating effectively and respectfully; and following all federal, state, and local laws and company policies. Pursuant to the LosAngeles County Fair Chance Ordinance, qualified applicants with arrest and conviction records will be considered. 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, please visit for more information. Base Salary Range USA, CA, Sunnyvale: $192,200 – $260,000 annually USA, NY, New York: $183,800 – $248,700 annually USA, WA, Seattle: $167,100 – $226,100 annually Final compensation will be determined based on experience, qualifications, and location. #J-18808-Ljbffr