Applied Scientist II — Personalization & AI Engines

Amazon; San Francisco, Northern (CA, KY); Hybrid; USD 143,000 - 193,000; Full time

Job summary

Amazon's Applied Scientist II - Personalization, Customer Intent Science focuses on building scalable machine learning models to enhance customer shopping experiences. You will work with massive datasets to improve recommendations, with close collaboration with software engineers to productionize algorithms.

The role emphasizes innovation in generative AI/LLMs, deep learning models, and advanced analytics for Amazon's Personalization platform, with opportunities to influence millions of

Qualifications

• 3+ years of building models for business applications.
• PhD, or Master’s with 4+ years in CS/CE/ML.
• Experience programming in Java, C++, Python.

Responsibilities

• Use AI/ML to create scalable solutions for business problems.
• Analyze large volumes of historical data to automate and optimize processes.
• Design, develop and evaluate scalable models for predictive learning.
• Collaborate with software engineers to productionize models.
• Establish scalable data analysis, model development, validation and implementation processes.
• Research novel ML/statistical approaches and review peer work.

Skills

ML modeling

Big data

Distributed computing

Software engineering

Education

PhD or Master’s in CS/CE/ML

Tools

Java

C++

Python

Job description

Amazon's Applied Scientist II - Personalization, Customer Intent Science focuses on building scalable machine learning models to enhance customer shopping experiences. You will work with massive datasets to improve recommendations, with close collaboration with software engineers to productionize algorithms.

The role emphasizes innovation in generative AI/LLMs, deep learning models, and advanced analytics for Amazon's Personalization platform, with opportunities to influence millions of