Senior Applied Scientist, Entertainment Devices & Grocery Experiences (EDGE) Ads

Senior Applied Scientist, Entertainment Devices & Grocery Experiences (EDGE) AdsJob ID: 10394748 | Amazon.com Services LLCWe are seeking a Senior Applied Scientist for our Entertainment Devices & Grocery Experiences (EDGE) Ads team. This team addresses challenging content and ads optimization problems related to how advertisements are priced, selected, allocated, and shown to customers on Amazon devices including Prime Video, Fire TV, Alexa, Fire Tablet, and Amazon Stores. As Senior Applied Scientist, you will be responsible for improving advertising performance and delivering innovative advertising experiences for display and video ads on Amazon Devices. We are innovating for the next generation of conversational ads and agentic AI‑driven ads experience. The team leads initiatives to improve advertising fundamentals such as relevance, coverage, CTR, and CPSU (cost per sign up for streaming services) which in turn increase advertising revenue across Amazon's devices worldwide. You will own the scoping, implementation, and launch of science‑based ad solutions and experiences specifically for these entertainment‑focused environments.Key ResponsibilitiesGain a comprehensive understanding of the customer lifecycle journey with Amazon Ads, and develop sophisticated models to optimize various conversion KPIs for enhanced marketing effectiveness.Develop scalable data processing pipelines and architectures to ingest, transform, and enrich customer data from various sources (Retail, Prime Video, FireTV, Alexa+, and AppStore).Build machine learning models, perform proof‑of‑concept, experiment, optimize, and deploy your models into production; work closely with product managers and engineers to launch your models to customers.Drive innovation within your team and partner closely with other scientists, engineers, and product managers to build science roadmaps.Establish scalable, efficient, automated processes for large‑scale data analysis, machine‑learning model development, model validation, and serving.Stay up‑to‑date with the latest advancements in machine learning, natural language processing, knowledge representation, multi‑modal learning and related fields, and identify opportunities to apply them to advertising use cases.We are looking for world‑class researchers with experience in one or more of the following areas of agentic AI for ads targeting: autonomous agents, multi‑agent orchestration, planning, large multimodal models (especially vision‑language models), reinforcement learning (RL), and sequential decision making.Effectively communicate complex science problems and solutions to both technical and non‑technical audiences.A Day in the LifeIn this role, you will regularly work with scientists and technical leaders across the advertising organization, including other science teams, product management, and senior leadership. You will also collaborate with science leaders across Amazon Devices and Prime Video organizations to build company‑wide alignment. You will manage and work closely alongside your team of applied and data scientists to guide them through high‑ambiguity problems and deliver robust, scalable solutions.About the TeamThis role is on the Device Ads and Personalization (DAPP) team, which is under Amazon Publisher Monetization (APM). This team has a vision to create innovative ad experiences on Amazon Devices, providing customers better convenience and more selection.Basic Qualifications5+ years of building machine learning models for business applications.PhD or Master's degree and 6+ years of applied research experience.Experience programming in Java, C++, Python or related language.Experience in building speech recognition, machine translation, and natural language processing systems (e.g., commercial speech products or government speech projects).Preferred QualificationsExperience 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.Los Angeles County applicants: job duties for this position include working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence despite stressful conditions; communicating effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and following 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. 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

for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.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

CA, Sunnyvale – 192,200.00 – 260,000.00 USD annuallyUSA, MA, Boston – 167,100.00 – 226,100.00 USD annuallyUSA, NY, New York – 183,800.00 – 248,700.00 USD annually#J-18808-Ljbffr