ML Research Scientist - Personalization & Recommendations

Prime Video & Amazon MGM Studios; New York (NY); Hybrid; USD 172,000 - 223,000; Full time

Job summary

Amazon.com Services LLC, Prime Video, is seeking a skilled machine learning scientist to own end-to-end product and user experience development for state-of-the-art video personalization. You will build ML models for recommendations and search, collaborate with engineers, scientists, and product managers, and publish findings at conferences and journals as you push the field forward.

This role emphasizes research leadership, hands-on ML, and cross-team collaboration within Prime Video and the

Qualifications

• 3+ years of building models for business application experience.
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
• Experience programming in Java, C++, Python or related language.
• Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

Responsibilities

• 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
• Stay up-to-date with advancements and the latest modeling techniques in the field
• Publish your research findings in top conferences and journals

Skills

Java

C++

Python

Machine learning

Education

PhD or Master + 4+ years CS/CE/ML

Tools

Unix/Linux

Algorithms

Job description

Amazon.com Services LLC, Prime Video, is seeking a skilled machine learning scientist to own end-to-end product and user experience development for state-of-the-art video personalization. You will build ML models for recommendations and search, collaborate with engineers, scientists, and product managers, and publish findings at conferences and journals as you push the field forward.

This role emphasizes research leadership, hands-on ML, and cross-team collaboration within Prime Video and the