Lead Applied Science Manager, Prime Video Personalization

Prime Video & Amazon MGM Studios; Sunnyvale (CA); Presencial; USD 211.000 - 286.000; Jornada completa

Descripción de la vacante

Prime Video & Amazon MGM Studios seeks an Applied Science Manager to lead a science team shaping personalized customer experiences. You will own AI solutions for recommendations, collaborate with engineers and product managers, and guide modeling approaches to improve broad-scale video personalization across devices.

The role emphasizes end-to-end responsibility, team leadership, and partnership with business stakeholders to deliver measurable impact for millions of Amazon customers.

Formación

• PhD or Master's degree with 6+ years of applied research experience.
• 4+ years of applied research experience.
• 3+ years of scientists or machine learning engineers management experience.
• 3+ years of building machine learning models for business applications.
• Knowledge of ML, NLP, Information Retrieval and Analytics.
• Experience programming in Java, C++, Python or related language.

Responsabilidades

• Lead to develop AI solutions for various Prime Video recommendation and personalization systems using Deep learning, GenAI, RL, and related methods.
• Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end.
• Communicate technical and non-technical ideas with teammates and stakeholders effectively.
• Stay up-to-date with advancements and modeling techniques in the field.
• Hire and grow a science team working in video personalization domain.

Conocimientos

Applied research

Leadership mgmt

Machine learning

NLP

Information retrieval

Analytics

Java

C++

Python

Deep learning

Computer vision

Educación

PhD or MSc in a relevant field

Descripción del empleo

Prime Video & Amazon MGM Studios seeks an Applied Science Manager to lead a science team shaping personalized customer experiences. You will own AI solutions for recommendations, collaborate with engineers and product managers, and guide modeling approaches to improve broad-scale video personalization across devices.

The role emphasizes end-to-end responsibility, team leadership, and partnership with business stakeholders to deliver measurable impact for millions of Amazon customers.