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

Amazon; New York (NY); On-site; USD 183,800 - 248,700; Full time

Job summary

A leading global technology company is seeking a Senior Applied Scientist in New York to enhance advertising performance across its devices. You will develop machine-learning models, create data processing pipelines, and collaborate with various teams to innovate advertising solutions. The role requires strong programming skills in languages like Java, C++, or Python, and you should have over 5 years of relevant experience. This position offers a unique chance to work on cutting-edge technology that drives customer engagement and results.

Qualifications

• 5+ years of building machine-learning models for business applications.
• Ph.D. or Master's degree with 6+ years of applied research experience.
• Experience programming in Java, C++, Python, or a related language.

Responsibilities

• Develop sophisticated models to optimize advertising KPIs.
• Build and deploy machine learning models into production.
• Collaborate with product managers and engineers on model launches.

Skills

Machine learning model development

Java/C++/Python programming

Speech recognition

Natural language processing

Education

Ph.D. or Master's degree with 6+ years applied research

Tools

TensorFlow

scikit-learn

Spark

Job description

Overview

We are seeking an 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. You will own the scoping, implementation, and launch of science‑based ad solutions and experiences specifically for these entertainment focused environments.

Key Responsibilities

• 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 AppStore).
• Build machine‑learning models, perform proof‑of‑concept, experiment, optimize, and deploy them 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 Life

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.

About the Team

This role is on the Device Ads and Personalization (DAPP) team, which is under Amazon Publisher Monetization (APM). The team has a vision to create innovative ad experiences on Amazon Devices, providing customers better convenience and more selection.

Basic Qualifications

• 5+ years of building machine‑learning models for business application experience.
• Ph.D., or Master’s degree and 6+ years of applied research experience.
• Experience programming in Java, C++, Python or a related language.
• Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects).

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.

USA, CA, Sunnyvale – 192,200.00 – 260,000.00 USD annually

USA, MA, Boston – 167,100.00 – 226,100.00 USD annually

USA, NY, New York – 183,800.00 – 248,700.00 USD annually