Senior Applied Scientist, Real-Time Linear Personalization

Amazon; Seattle (WA); 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

Amazon is seeking a Senior Applied Scientist for its Linear Personalization Experience Team (LPEX) in Seattle. This role involves driving the science strategy and developing machine learning models to enhance viewer engagement on Prime Video, impacting millions of customers directly.

The ideal candidate will have a strong background in ML modeling and programming, continuously optimizing recommendation systems while collaborating with cross-functional teams. This position offers a competitive salary and comprehensive benefits.

Qualifications

• PhD, or Master's degree and 6+ years of applied research experience.
• 5+ years of building machine learning models for business application.
• Experience programming in Java, C++, Python, or related language.

Responsibilities

• Define and drive the science strategy for Linear TV personalization.
• Design, develop, and deploy machine learning models for content recommendation.
• Own the complete ML lifecycle from problem formulation to production deployment.

Skills

Machine learning modeling

Programming in Java, C++, Python

Experience in deep learning

Statistical methods (e.g., A/B Testing)

Education

PhD or Master's degree

Tools

R

TensorFlow

AWS services

Hadoop

Job description

Amazon is seeking a Senior Applied Scientist for its Linear Personalization Experience Team (LPEX) in Seattle. This role involves driving the science strategy and developing machine learning models to enhance viewer engagement on Prime Video, impacting millions of customers directly.

The ideal candidate will have a strong background in ML modeling and programming, continuously optimizing recommendation systems while collaborating with cross-functional teams. This position offers a competitive salary and comprehensive benefits.