Sr. Applied Scientist, Prime Video - Title Lifecycle Presentation

Amazon

United States
167,100.00 - 226,100.00 usd annually py
On-site
Multi-modal embeddings
Contextualized ranking systems
Reinforcement learning frameworks
Amazon is seeking a Sr. Applied Scientist for its Prime Video Title Lifecycle Presentation team, responsible for enhancing content presentation and discovery through advanced machine learning systems. The role involves leading cross-functional projects, deploying machine learning models, and mentoring junior staff to create engaging customer experiences

Job Summary

  • The Prime Video Title Lifecycle Presentation team leverages data signals and rigorous testing to present the most engaging information about our content to customers at precisely the right moment.
  • We are seeking a Sr. Applied Scientist who excels at building sophisticated machine learning systems for content presentation and discovery.
  • You will lead cross-functional science initiatives, bridge science and engineering for production-scale deployment, and mentor and develop technical talent.

Matching Summary

Match Score: 85

Amazon is seeking a Sr. Applied Scientist for its Prime Video Title Lifecycle Presentation team, responsible for enhancing content presentation and discovery through advanced machine learning systems. The role involves leading cross-functional projects, deploying machine learning models, and mentoring junior staff to create engaging customer experiences.

Salary

167,100.00 - 226,100.00 USD annually

Skills & Requirements

Must-have

  • Multi-modal embeddings
  • Contextualized ranking systems
  • Reinforcement learning frameworks
  • Machine learning and statistical methods
  • Recommender systems
  • Generative AI agent development
  • Computer vision applications

Nice-to-have

  • Diverse perspectives and ideas
  • Collaboration with remarkable people
  • Continuous improvement loops
  • Experimentation with new possibilities

Key Requirements

  • Lead Cross-Functional Science Initiatives
  • Partner with engineering teams to productionize ML models
  • Provide technical mentorship and guidance

Work Rights

Not specified

Tailored Resume

Cover Letter