Senior Applied Scientist: Ads Personalization & GenAI

Amazon Science; Seattle (WA); On-site; USD 167,000 - 226,000; Full time

Job summary

Amazon Science’s Prime Video Ads team seeks a lead applied scientist to advance state-of-the-art ML, personalization, and causal inference for an ad-supported streaming platform. You will own end-to-end ML solutions from research to production, helping tailor advertising experiences for a global audience of millions of viewers.

You will collaborate with Prime Video teams, scale models to 100M+ customers and 100k+ titles, and contribute to Gen‑AI and reinforcement learning applications while

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 language.

Responsibilities

• Lead ML research on advertising decisions for 100M+ customers across 100k+ titles.
• Develop deep learning architectures for customer behavior prediction at scale.
• Design and analyze large-scale A/B experiments with causal inference techniques.
• Partner with engineering to ensure models meet production latency and scalability.
• Collaborate with product managers to frame business problems as tractable ML problems.
• Shape the team’s scientific roadmap and high-impact research directions.

Skills

Machine learning modeling

Programming: Java, C++, Python

Education

PhD

Master's degree

Tools

Java

C++

Python

Job description

Amazon Science’s Prime Video Ads team seeks a lead applied scientist to advance state-of-the-art ML, personalization, and causal inference for an ad-supported streaming platform. You will own end-to-end ML solutions from research to production, helping tailor advertising experiences for a global audience of millions of viewers.

You will collaborate with Prime Video teams, scale models to 100M+ customers and 100k+ titles, and contribute to Gen‑AI and reinforcement learning applications while