Applied Scientist – ML, RL & Causal Inference for Streaming

Amazon; San Francisco (CA); On-site; USD 143,000 - 193,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Job summary

Amazon's Prime Video Science team seeks an Applied Scientist to build large-scale ML and deep learning models that simulate customer behavior and guide major investment decisions in content and product. Collaboration with business, finance, engineering, and science stakeholders is essential for moving ideas from concept to production.

The role emphasizes reinforcement learning, causal inference, and the design of agentic AI systems, with strong communication to translate findings into actionable

Qualifications

• 3+ years of building machine learning models or developing algorithms for business applications
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language

Responsibilities

• Build models that simulate customer behavior to answer counterfactual 'what-if' questions that guide major content and product investment decisions.
• Apply deep learning, reinforcement learning, causal inference, and experimental design to large-scale customer data to model how customers respond to change.
• Design and prototype agentic AI systems and other novel ML approaches and research new methods to improve the accuracy and scale of our models.
• Validate and calibrate models against real-world randomized experiments, and partner with software engineers to deliver scalable, production-ready systems.
• Translate model outputs into clear recommendations and communicate results to business, finance, and science stakeholders through both technical papers and business-facing documents.

Skills

Deep learning

Reinforcement learning

Causal inference

Communication

Education

PhD

Master's degree

Tools

Java

C++

Python

Job description

Amazon's Prime Video Science team seeks an Applied Scientist to build large-scale ML and deep learning models that simulate customer behavior and guide major investment decisions in content and product. Collaboration with business, finance, engineering, and science stakeholders is essential for moving ideas from concept to production.

The role emphasizes reinforcement learning, causal inference, and the design of agentic AI systems, with strong communication to translate findings into actionable