Machine Learning Engineer, Core ShoppingJob ID: 2788067 | Amazon.com Services LLC
As part of the Amazon Core Shopping organization, we own and develop most of the core shopping experiences on Amazon.com, the Amazon app, and Alexa. Our goal is to create innovative product discovery experiences and deliver exceptional pre- and post-purchase experiences for our customers.
We are looking for a passionate, talented, and inventive Machine Learning Engineer with a background in Large Scale Machine Learning system development, to help build LLM solutions at scale for Amazon Core Shopping. You'll be working with talented scientists and engineers to innovate on behalf of our customers. If you're fired up about being part of a dynamic, driven team and are ready to make a lasting impact on the future of AI-powered shopping, we invite you to join us on this exciting journey to reshape shopping.
Key job responsibilities: Ability to quickly learn cutting-edge technologies and algorithms in the field of Generative AI to participate in our journey to build LLMs solutions at scale.Work closely with Applied scientists to process massive data, scale machine learning models while optimizing.Work closely with Applied scientists and engineers for the development and maintenance of key platforms needed for developing, evaluating and deploying LLM solutions.BASIC QUALIFICATIONS3+ years of non-internship professional software development experience.2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience.Experience programming with at least one software programming language.PREFERRED QUALIFICATIONS3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.Master's degree in computer science or equivalent.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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