Applied Scientist Ii, Prime Video Personalization And Discovery Science

Amazon

United States
171,600.00 - 222,200.00 usd annually py
On-site
Develop ml models for recommendation & search
Deep learning, online learning, optimization
Expand product insights with data
Amazon is seeking an Applied Scientist II for its Prime Video Personalization and Discovery Science team, focusing on developing machine learning models for recommendation and search systems. The role emphasizes collaboration, innovation, and the opportunity to publish research findings, contributing to a cutting-edge digital video experience

Job Summary

  • Develop ML models for various recommendation & search systems using deep learning, online learning, and optimization methods.
  • Work closely with other scientists, engineers and product managers to expand the depth of our product insights with data, create a variety of experiments to determine the high impact projects to include in planning roadmaps.
  • We are looking for creative & customer obsessed machine learning scientists who can apply the latest research, state of the art algorithms and ML to build highly scalable page personalization solutions.

Matching Summary

Match Score: 85

Amazon is seeking an Applied Scientist II for its Prime Video Personalization and Discovery Science team, focusing on developing machine learning models for recommendation and search systems. The role emphasizes collaboration, innovation, and the opportunity to publish research findings, contributing to a cutting-edge digital video experience.

Salary

171,600.00 - 222,200.00 USD annually

Skills & Requirements

Must-have

  • Develop ML models for recommendation & search
  • Deep learning, online learning, optimization
  • Expand product insights with data
  • Create experiments for roadmaps
  • Stay up-to-date with modeling techniques
  • Publish research findings

Nice-to-have

  • Creative & customer obsessed
  • Apply latest research and algorithms
  • Build highly scalable personalization solutions
  • Research leader and hands-on practitioner
  • Collaborate with talented teams

Key Requirements

  • Advanced approaches such as foundation models
  • Acquiring and processing data sets at scale

Work Rights

Not specified

Tailored Resume

Cover Letter