Senior Applied Scientist , Prime Video Ads

Key job responsibilities

• Tackle problems spanning the full ML lifecycle, from exploratory research and offline modeling to online experimentation and production deployment.
• 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.
• Collaborate with engineering to ensure models meet production latency and scalability requirements.
• Partner 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 applications 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.