Senior Applied Scientist , Prime Video Ads

Key job responsibilities

• Lead the research and development of ML models that personalize advertising decisions for 100M+ customers across 100k+ titles, with production deployment in mind
• Develop deep learning architectures (multi-task learning, embedding-based representations) for customer behavior prediction at scale
• Design and analyze large-scale A/B experiments, applying causal inference techniques to measure and optimize the impact of ad strategies on customer engagement and monetization
• Partner with engineering to ensure models meet production latency and scalability requirements
• Collaborate with product managers to frame business problems as tractable ML problems and translate findings into product decisions
• Shape the team’s scientific roadmap, identifying high-impact research directions

About The Team

The PV Ad CX team’s mission is to create the world’s most customer-centric ad experience for video streaming. We build adaptive systems that determine when, how many, and what ads to show each customer, personalized to their viewing behavior, content context, and engagement patterns. We aspire to transform ad breaks from interruptions into moments that feel relevant and thoughtful.

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 large scale distributed systems such as Hadoop, Spark etc.
• Experience working with PyTorch or JAX software, or experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
• Experience with Amazon Web Services (AWS)

Company

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers.

Contact Information

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information.

Application Instructions

To apply for this position, please visit https://amazon.jobs/en/jobs/10422112.