Do you want to build new software tools and systems that are powered by generative AI? Do you want to work alongside a team of passionate, talented engineers and scientists on the next generation of intelligent customer-facing shopping experiences leveraging state-of-the-art deep learning and generative models? Our team is building internet-scale data solutions to power critical customer-facing shopping conversation experiences on the Amazon app and web. We are looking for a passionate, talented, and inventive SDE with a strong machine learning background, to lead the development of industry-leading technology with Large Language Models and Natural Language Processing.
The Shopping Convo Foundations org is building core foundational capabilities to train and optimize large language models. We create tools and infrastructure to measure, evaluate, and enhance high-quality language model experiences like Rufus. Our efforts aim to improve the performance and capabilities of these advanced language models. If you are thrilled about creating customer experiences that will be used by millions of people worldwide and are eager to tackle technical challenges that have never been addressed before, then this is the perfect opportunity for you.
As a software developer in this role, you will
* Develop and maintain key services needed for evaluating and deploying large language models required for building conversational agents.
* Work with peers to investigate design approaches, prototype new technology and evaluate technical feasibility.
* Work closely with Applied scientists to process massive data, scale machine learning models while defining and optimizing criteria critical to the success of the customer experience
* Lead and influence the overall tech strategy by helping define data, enrichment, model optimizations and evaluation.
* Lead the system architecture, and spearhead the best practices that enable a quality infrastructure.
* Work in an Agile/Scrum environment to deliver high quality software against aggressive schedules.
* Tackle challenging, novel situations every day and have the opportunity to work with multiple technical teams at Amazon.
* Learn cutting-edge technologies and algorithms in the field of Generative AI advancing our journey to build the best conversational shopping agent.
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA
The Shopping Convo Foundations org is building core foundational capabilities to train and optimize large language models. We create tools and infrastructure to measure, evaluate, and enhance high-quality language model experiences like Rufus. Our efforts aim to improve the performance and capabilities of these advanced language models. If you are thrilled about creating customer experiences that will be used by millions of people worldwide and are eager to tackle technical challenges that have never been addressed before, then this is the perfect opportunity for you.
As a software developer in this role, you will
* Develop and maintain key services needed for evaluating and deploying large language models required for building conversational agents.
* Work with peers to investigate design approaches, prototype new technology and evaluate technical feasibility.
* Work closely with Applied scientists to process massive data, scale machine learning models while defining and optimizing criteria critical to the success of the customer experience
* Lead and influence the overall tech strategy by helping define data, enrichment, model optimizations and evaluation.
* Lead the system architecture, and spearhead the best practices that enable a quality infrastructure.
* Work in an Agile/Scrum environment to deliver high quality software against aggressive schedules.
* Tackle challenging, novel situations every day and have the opportunity to work with multiple technical teams at Amazon.
* Learn cutting-edge technologies and algorithms in the field of Generative AI advancing our journey to build the best conversational shopping agent.
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA