Grocery Personalization Scientist - Real-Time LLMs

Amazon Science; Seattle (WA); On-site; USD 143,000 - 193,000; Full time

Job summary

Amazon Science is seeking an Applied Scientist for the Grocery Personalization team to develop novel machine learning models and features that transform how customers discover and purchase groceries. You will work on LLM-based techniques for understanding customer preferences, transformer-based intent prediction, and large-scale real-time ranking that personalize the entire grocery journey.

You will collaborate with cross-functional teams on end-to-end prototyping and deployment, contributing to

Qualifications

• 3+ years of building models for business applications.
• PhD, or Master's degree plus 4+ years in CS/CE/ML or related field.
• 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

• Innovate new features and models that have huge impact on the customer experience.
• Leverage advanced LLM-based techniques to enhance the grocery shopping experience at Amazon-scale in realtime.
• Collaborate across science, product, design, and engineering to move ideas from inception to launch for all customers.
• Drive the science roadmap for the team.

Skills

ML modeling

Model deployment

Professional software development

Education

CS/CE/ML degree

Tools

Java

C++

Python

Unix/Linux

Job description

Amazon Science is seeking an Applied Scientist for the Grocery Personalization team to develop novel machine learning models and features that transform how customers discover and purchase groceries. You will work on LLM-based techniques for understanding customer preferences, transformer-based intent prediction, and large-scale real-time ranking that personalize the entire grocery journey.

You will collaborate with cross-functional teams on end-to-end prototyping and deployment, contributing to