Senior Applied Scientist, Content Discovery & Personalization

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

Benefits offered by this job

Sign-on payments

RSUs

Health insurance

Job summary

Amazon.com Services LLC is seeking a Sr. Applied Scientist for the Prime Video Title Lifecycle Presentation team. You will build and refine machine learning systems for content presentation, discovery, and personalized ranking across modalities.

Lead production-scale deployments with engineering partners, mentor junior scientists, and advance state-of-the-art recommendations while handling real-time signals and large-scale data used by millions of Prime Video customers worldwide.

Qualifications

• 3+ years of building machine learning models for business applications.
• PhD or Master’s with 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 across recommender systems and multi-modal AI projects.
• Bridge science and engineering for production-scale deployment and maintainable code.
• Mentor and develop technical talent within the team.

Skills

ML models

Programming: Java/C++/Python

Deep learning

Applied research

Education

PhD or Master's degree

Tools

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

NumPy

SciPy

Job description

Amazon.com Services LLC is seeking a Sr. Applied Scientist for the Prime Video Title Lifecycle Presentation team. You will build and refine machine learning systems for content presentation, discovery, and personalized ranking across modalities.

Lead production-scale deployments with engineering partners, mentor junior scientists, and advance state-of-the-art recommendations while handling real-time signals and large-scale data used by millions of Prime Video customers worldwide.