Conversational AI Innovator

Responsibilities

• As an Applied Scientist II in the Conversational Assistant Services (CAS) group, you will collaborate with talented peers to create scalable solutions for an innovative conversational assistant

• You will analyze and improve user experiences by leveraging Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence

• You will work on core Large Language Model (LLM) technologies, including developing best-in-class modeling and prompt optimization algorithms to enable Conversation AI use cases

• Build and measure novel online & offline metrics for personal digital assistants and customer scenarios, on diverse devices and endpoints

• Create, innovate and deliver deep learning, policy-based learning, and/or machine learning-based algorithms to deliver customer-impacting results

• Perform model/data analysis and monitor metrics through online A/B testing

• Research and implement novel machine learning and deep learning algorithms and models

Full Description

We are seeking a highly skilled Conversational AI Innovator to join our team at Amazon.

As an Applied Scientist II in the Conversational Assistant Services (CAS) group, you will collaborate with talented peers to create scalable solutions for an innovative conversational assistant.

Key Responsibilities:

• You will analyze and improve user experiences by leveraging Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence.

• You will work on core Large Language Model (LLM) technologies, including developing best-in-class modeling and prompt optimization algorithms to enable Conversation AI use cases.

• Build and measure novel online & offline metrics for personal digital assistants and customer scenarios, on diverse devices and endpoints.

• Create, innovate and deliver deep learning, policy-based learning, and/or machine learning-based algorithms to deliver customer-impacting results.

• Perform model/data analysis and monitor metrics through online A/B testing.

• Research and implement novel machine learning and deep learning algorithms and models.