Senior Applied Scientist Content Discovery & Personalization

Amazon Inc.; Seattle, Northern (WA, KY); Hybrid; USD 136,000 - 226,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC seeks a Sr. Applied Scientist for Prime Video, Title Lifecycle Presentation. You will own end-to-end machine learning for content presentation and discovery, collaborating across research and engineering to deploy scalable systems that enhance customer experience.

The role emphasizes multi-modal embeddings, contextual ranking, reinforcement learning, and personalization, with opportunities to lead diverse scientific initiatives globally.

Qualifications

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

Responsibilities

• Lead Cross-Functional Science Initiatives: Drive a portfolio of applied science projects across recommender systems, generative AI, and computer vision.
• Bridge Science and Engineering for Production-Scale Deployment: Partner with engineering to productionize ML models at Prime Video scale.
• Mentor and Develop Technical Talent: Guide junior scientists and engineers in methodologies and best practices.

Skills

ML modeling

Java

C++

Python

Deep learning

Education

PhD or Master's degree in a relevant field

Tools

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

NumPy

SciPy

Job description

Amazon.com Services LLC seeks a Sr. Applied Scientist for Prime Video, Title Lifecycle Presentation. You will own end-to-end machine learning for content presentation and discovery, collaborating across research and engineering to deploy scalable systems that enhance customer experience.

The role emphasizes multi-modal embeddings, contextual ranking, reinforcement learning, and personalization, with opportunities to lead diverse scientific initiatives globally.