Senior Applied Scientist, Entertainment Devices & Grocery ; EDGE Ads

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

Job :  |  Services LLC

We 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.

• Gain 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 App Store).
• 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.

In 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.

This 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.

• 5+ 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).

• Experience with modeling tools such as R, scikit‑learn, Spark MLlib, MXNet, Tensor Flow, Num Py, Sci Py, 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…