Sr. Machine Learning Engineer, AFX

6 days ago

Boston, United States The Learning Experience #328 Full time
Sr. Machine Learning Engineer, AFX - SalesNavAmazonShare this job

Boston, MA, USA

Full Time

Role Highlights

Generative AI

Data

LLMs

Deployment

Cloud

Design Patterns

Reliability

Tools, Libraries and Frameworks

AWS

Description

Amazon Web Services (AWS) Field Experiences (AFX) team is seeking a Senior Machine Learning Engineer to contribute to the design, development, and improvement of generative AI and traditional ML models. The role involves inventing software using Large Language Models (LLMs) and other AI forms, delivering AI solutions into production at scale, and working with data scientists, ML engineers, and product partners. AFX focuses on using generative AI to enhance decision-making and customer engagement tools that analyze complex data. Essential skills include software development, programming, design, architecture, and building smart software products using advanced AI concepts and tools.

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.

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