Senior Applied Scientist, Linear Personalization (LPEX)

Amazon; Boston (MA); Presencial; USD 150.000 - 230.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

RSUs

Health insurance

401(k) matching

Paid time off

Descripción de la vacante

Amazon is seeking an Applied Scientist to own end-to-end ML lifecycle for Linear TV personalization on Prime Video. You will lead strategy, build scalable models, and drive experiments impacting hundreds of millions of users.

You will collaborate with product and software teams, publish findings, and mentor others. This role targets senior-level expertise in ML and distributed systems within a fast-paced entertainment tech environment.

Formación

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

Responsabilidades

• Define and drive the science strategy and multi-year roadmap for Linear TV personalization, translating research advances into measurable business and customer experience outcomes.
• Design, develop, and deploy machine learning models for content recommendation, viewer engagement optimization, and real-time personalization at the scale of hundreds of millions of Prime Video customers.
• Own the complete ML lifecycle: problem formulation, data analysis, feature engineering, model development, offline and online evaluation, and reliable production deployment.
• Build and continuously optimize recommendation systems with strict real-time latency requirements, ensuring that personalization decisions are delivered at speed and scale.
• Design and execute rigorous A/B and multivariate experiments to measure recommendation quality, understand causal drivers of engagement, and iterate rapidly toward customer impact.
• Partner with software engineering teams to productionize ML models, defining requirements for serving infrastructure, data pipelines, and model monitoring and observability.
• Collaborate with product managers and cross-functional stakeholders to translate ambiguous business problems into well-scoped, tractable science solutions.
• Publish research findings and contribute to the broader scientific community through papers, patents, and internal knowledge-sharing forums.
• Mentor scientists and engineers on the team, setting a high bar for scientific rigor, experimental discipline, and ML engineering best practices.

Conocimientos

Java

Python

C++

ML experience

Educación

PhD or Master's in a related field

6+ years applied research

Herramientas

Spark

TensorFlow

AWS

Sagemaker

Hadoop

Descripción del empleo

Amazon is seeking an Applied Scientist to own end-to-end ML lifecycle for Linear TV personalization on Prime Video. You will lead strategy, build scalable models, and drive experiments impacting hundreds of millions of users.

You will collaborate with product and software teams, publish findings, and mentor others. This role targets senior-level expertise in ML and distributed systems within a fast-paced entertainment tech environment.