Applied Scientist II — Personalization & Recommendations ML

Prime Video & Amazon MGM Studios; Sunnyvale (CA); On-site; USD 172,000 - 222,000; Full time

Job summary

Amazon.com Services LLC in Sunnyvale, CA is seeking a skilled machine learning scientist for Prime Video to own end-to-end ML model development for recommendations and search. You will work with scientists, engineers, and product managers to drive insights, experiments, and scalable solutions that improve personalization.

The role requires a strong background in ML, deep learning, and optimization, with a track record of publishing results and contributing to product roadmaps.

Qualifications

• 3+ years building models for business applications
• PhD or MS + 4+ years CS/CE/ML experience
• Experience programming in Java, C++, Python
• Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, HPC

Responsibilities

• Develop ML models for various recommendation & search systems using deep learning, online learning, and optimization methods
• Collaborate with scientists, engineers and product managers to expand the depth of our product insights with data, create experiments to determine high impact projects to include in roadmaps
• Stay up-to-date with advancements and modeling techniques in the field
• Publish your research findings in top conferences and journals

Skills

Java

C++

Python

Algorithms

Data structures

Data mining

Parallel computing

High-performance computing

Education

PhD or MS

CS/CE/ML background

Tools

Unix/Linux

Job description

Amazon.com Services LLC in Sunnyvale, CA is seeking a skilled machine learning scientist for Prime Video to own end-to-end ML model development for recommendations and search. You will work with scientists, engineers, and product managers to drive insights, experiments, and scalable solutions that improve personalization.

The role requires a strong background in ML, deep learning, and optimization, with a track record of publishing results and contributing to product roadmaps.