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

Amazon Inc.; Sunnyvale, Boston, New York (CA, MA, NY); On-site; USD 167,100 - 226,100; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

A leading tech company is looking for a Senior Applied Scientist to innovate advertising experiences through machine learning on Amazon devices. This role is integral to the Entertainment Devices & Grocery Experiences (EDGE) Ads team, requiring expertise in model development and collaboration across various teams. Candidates should have strong programming skills, preferably with a PhD or Master’s, and at least 5 years of relevant experience. The position offers a competitive salary with extensive benefits.

Qualifications

• 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 languages.

Responsibilities

• Develop scalable data processing pipelines and architectures.
• Build machine learning models and deploy them to production.
• Drive innovation within the team.

Skills

Machine learning models

Natural language processing

Communication skills

Data processing

Education

PhD or Master’s degree

Tools

Java

Python

R

TensorFlow

Job description

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

Job ID: 10394748 | Amazon.com Services LLC

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 a 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 ad experiences.

Key job 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, Fire TV, Alexa+ and AppStore).
• Build machine learning models, perform proof‑of‑concepts, experiments, optimise, and deploy models into production; work closely with product managers and engineers to launch models to customers.
• Drive innovation within the 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.
• Build expertise in agentic AI for ad targeting, including autonomous agents, multi‑agent orchestration, planning, large multimodal models (especially vision‑language models), reinforcement learning 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 envisions creating innovative ad experiences on Amazon devices, providing customers better convenience and more selection.

Basic Qualifications

• 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 languages.
• Experience 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.
• Experience in agentic AI, multi‑modal learning, reinforcement learning, or sequential decision making.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Location and Compensation:

• 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

Benefits include competitive health insurance, 401(k) matching, paid time off, parental leave, and more. Learn more about our benefits at https://amazon.jobs/en/benefits.