Machine Learning Engineer, AGI

4 weeks ago

Seattle WA, United States Amazon Full time

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive SDE/MLE to play pivotal role in the development of industry-leading multi-modal and multi-lingual large language models (LLM). As our SDE/MLE superstar, you'll have the power to lead the charge in developing cutting-edge algorithms and modeling techniques that will push the boundaries of large model training using cutting-edge hardware like AWS Trainium. Your groundbreaking work will directly impact our customers' lives through game-changing products and services powered by your Generative AI breakthroughs.
Get ready to dive into Amazon's vast and diverse data sources and harness the immense power of our large-scale computing resources to turbocharge the development of multi-modal Large Language Models (LLMs) and other Generative Artificial Intelligence (Gen AI) applications. Your expertise and insights will be invaluable in defining data strategies, enrichment processes, model optimizations, and evaluation methods that will set new standards in the industry.
Ability to quickly learn cutting-edge technologies and algorithms in the field of Generative AI to participate in our journey to build the best LLMs.
Responsible for the development and maintenance of key platforms needed for developing, evaluating and deploying LLM for real-world applications.
Work closely with Applied scientists to process massive data, scale machine learning models while optimizing
As a SDE/MLE with the AGI team, you will be responsible for leading the development of novel algorithms and modeling techniques to advance the state of the art of large model training using hardware like AWS Trainium. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multi-modal Large Language Models (LLMs) and other Generative Artificial Intelligence (Gen AI) applications. You'll be the driving force behind our system architecture and the champion of best practices that will ensure an unparalleled infrastructure of the highest quality. Work in an Agile/Scrum environment to move fast and deliver high quality software.
Collaborate with top minds pushing boundaries in deep learning, reinforcement learning, and more. This is a unique opportunity to create history and shape the future of artificial intelligence.
We leverage our hyper-scalable, general-purpose large model training and inference systems to develop and deploy cutting-edge sensory AI foundational models that revolutionize machine perception, interpretation and interaction, with humans and with the physical world.
3+ 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
~ Bachelor's degree in computer science or equivalent

3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
~ Master’s / PhD in Machine learning and its practical applications.

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. For individuals with disabilities who would like to request an accommodation, please visit
Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

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