Applied Scientist, Personalization & Memory AI

Amazon Science; Irvine (CA); On-site; USD 143,000 - 193,000; Full time

Job summary

Amazon Science invites applications for an Applied Scientist to define how AI remembers people, preferences, and pivotal moments to personalize customer experiences. You will advance NLP, information retrieval, and large language models, building systems that reason from first principles on memory and knowledge retrieval for customers and their household members.

You will collaborate with a global team of researchers and engineers, design experiments, publish results, and ship features that

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, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

Responsibilities

• Research, design, and development of new AI technologies for personalization.
• Adopt or invent machine learning and analytical techniques in recommendations, information retrieval, and LLMs.
• Collaborate with scientists, engineers, and product partners locally and abroad.
• Invent, experiment with, and launch new features, products and systems.

Skills

NLP

Information retrieval

Large language models

Distributed computing

Education

PhD in CS/CE/ML or related

Master's + 4+ years CS/CE/ML experience

Tools

Java

C++

Python

Unix/Linux

Job description

Amazon Science invites applications for an Applied Scientist to define how AI remembers people, preferences, and pivotal moments to personalize customer experiences. You will advance NLP, information retrieval, and large language models, building systems that reason from first principles on memory and knowledge retrieval for customers and their household members.

You will collaborate with a global team of researchers and engineers, design experiments, publish results, and ship features that