Senior Applied Scientist, Real-Time Linear Personalization

Amazon

Seattle (WA)

Sur place

USD 167 100 - 226 100

Plein temps

14 jours+

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Avantages offerts par ce poste

Health insurance
401(k) matching
Paid time off
Parental leave

Résumé du poste

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.

Responsabilités

  • 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.

Connaissances

Machine learning modeling
Programming in Java, C++, Python
Experience in deep learning
Statistical methods (e.g., A/B Testing)

Formation

PhD or Master's degree

Outils

R
TensorFlow
AWS services
Hadoop

Description du poste

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.

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