Senior AI Scientist, Prime Video: Personalization & Discovery

Amazon Inc.; Seattle, Northern (WA, KY); Hybrid; USD 167,000 - 226,000; Full time

Job summary

Amazon.com Services LLC's Prime Video team is seeking a Sr. Applied Scientist to advance personalization and discovery science.

You will develop AI solutions for Prime Video search using deep learning, reinforcement learning, and GenAI, collaborating with engineers and product managers to deploy end-to-end systems across devices. The role requires a PhD or Master’s with 6+ years of applied research, 4+ years of ML model building, and strong programming in Java, C++, or Python.

Qualifications

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

Responsibilities

• Develop AI solutions for Prime Video Search using Deep learning, GenAI, Reinforcement Learning, and optimization methods.
• Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end.
• Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses.
• Effectively communicate technical and non-technical ideas with teammates and stakeholders.
• Stay up-to-date with advancements and the latest modeling techniques in the field.
• Publish your research findings in top conferences and journals.

Skills

Java

C++

Python

Deep learning

Reinforcement Learning

GenAI

Education

PhD

Master's degree

Tools

Hadoop

Spark

R

scikit-learn

TensorFlow

MxNet

NumPy

SciPy

Job description

Amazon.com Services LLC's Prime Video team is seeking a Sr. Applied Scientist to advance personalization and discovery science.

You will develop AI solutions for Prime Video search using deep learning, reinforcement learning, and GenAI, collaborating with engineers and product managers to deploy end-to-end systems across devices. The role requires a PhD or Master’s with 6+ years of applied research, 4+ years of ML model building, and strong programming in Java, C++, or Python.