Amazon Development Center U.S., Inc.
Technology
MachineLearningEngineer,GenAI,AmazonConnect
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Machine Learning Engineer, GenAI, Amazon Connect at Amazon Development Center U.S., Inc.. Skills: Machine Learning, LLM serving, Inference optimization, Cloud ML infrastructure. Design and build LLM serving systems. Optimize inference performance”
What You'll Achieve.
Drive business outcomes; Deliver AI capabilities
Industry & Context.
Problem solving
What They're Looking For.
Must Have
5+ years non-internship professional software development, 5+ years programming experience, 5+ years leading design or architecture, Experience as a mentor, Experience as a tech lead, Experience leading an engineering team, Knowledge of Machine Learning fundamentals, Knowledge of LLM fundamentals, Knowledge of transformer architecture, Knowledge of training/inference lifecycles, Knowledge of optimization techniques
Nice to Have
Bachelor's degree in computer science, 5+ years full software development life cycle, Experience developing and deploying LLMs in production, Experience with Neuron, Experience with TPU, Experience with AI acceleration hardware, Experience with CUDA kernels, Experience with ML/low-level kernels
What You'll Do.
Design and build LLM serving systems
Optimize inference performance
Develop ML infrastructure solutions
Design machine learning systems
Develop machine learning systems
Research machine learning systems
Build LLM serving infrastructure
Host LLM serving infrastructure
Maintain LLM serving infrastructure
Optimize inference stack
Understand real-world challenges
Translate requirements into solutions
How You'll Work.
Team & Collaboration
Cross-functional teams; Applied scientists; Software engineers; Product teams
Process & Methodology
Agile
Full Job Description
As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Amazon Connect is an AI-powered customer experience solution that enables superior outcomes at a lower cost. Since its 2017 public launch, Amazon Connect has become an AI leader, transforming how organizations of all types interact with their customers. Do you want to build and optimize the infrastructure that serves frontier Large Language Models (LLMs) at massive scale, transforming how customers interact with AI-powered services? Join a world-class team of ML engineers and scientists within AWS to develop production ML systems that power next-generation applications in cloud computing. Amazon Web Services (AWS) is the world’s leading cloud platform, supporting millions of customers globally. Our customers bring complex, high-impact problems that create unique opportunities for Machine Learning Engineers to deliver solutions with immediate, real-world impact. You will operate as a technical leader, owning the design and evolution of large-scale ML infrastructure. You will partner closely with applied scientists, software engineers, and product teams to translate frontier LLM research into highly reliable, efficient, and scalable production systems. You will work with state-of-the-art GPU and custom accelerator hardware, and leverage AWS’s unmatched scale in data and compute to push the boundaries of LLM serving and opt
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