Applied Scientist: Generative AI for Streaming Content

Amazon; Sunnyvale (CA); On-site; USD 172,000 - 222,000; Full time

Benefits offered by this job

Health insurance

RSUs

Paid time off

Parental leave

Job summary

Amazon Prime Video is seeking an Applied Scientist to advance AI-driven content generation and localization, using generative AI, computer vision, and deep learning. You will develop production-ready models, work on fast-paced experiments, and collaborate with engineers, scientists, and product teams to deliver impactful customer experiences.

The role emphasizes translating complex model findings into practical production systems and business impact, with a strong focus on scalable, robust

Qualifications

• 3+ years of building models for business application experience.
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
• Experience programming in Java, C++, Python or related language.
• Experience in algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

Responsibilities

• Build generative AI models that create production-ready content for Prime Video's global platform.
• Drive end-to-end machine learning projects with high ambiguity, scale, and complexity.
• Build and validate ML models; perform proof-of-concept, experiments, optimization and deployment.
• Run experiments, collect data, and perform statistical analysis.
• Establish scalable, automated processes for large-scale data analysis and model development.
• Research new and innovative ML approaches and share outcomes via internal and external venues.

Skills

ML model building

Java

C++

Python

Deep learning

Generative AI

Reinforcement learning

Education

PhD or MS in CS/ML

Tools

Unix/Linux

Job description

Amazon Prime Video is seeking an Applied Scientist to advance AI-driven content generation and localization, using generative AI, computer vision, and deep learning. You will develop production-ready models, work on fast-paced experiments, and collaborate with engineers, scientists, and product teams to deliver impactful customer experiences.

The role emphasizes translating complex model findings into practical production systems and business impact, with a strong focus on scalable, robust