Sr. Machine Learning Engineer, AGI Foundations

Amazon is a global technology company that develops and provides a wide range of products and services, including e-commerce, cloud computing, artificial intelligence, and digital streaming.
$151,300 - $261,500
Machine Learning
Senior Software Engineer
Contact Company
5,000+ Employees
5+ years of experience
AI

Description For Sr. Machine Learning Engineer, AGI Foundations

The Artificial General Intelligence (AGI) team at Amazon is seeking a passionate and talented Senior SDE with a strong machine learning background to lead the development of industry-leading models with multimodal systems. As a Senior SDE on the AGI team, you will:

  • Lead the development of novel algorithms and modeling techniques to advance the state of the art in multimodal systems
  • Directly impact customers through generative AI models utilizing vision technologies
  • Leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate development with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence (Gen AI) in Computer Vision
  • Influence overall strategy by working at the intersection of engineering and applied science to scale pre-training workflows and build efficient models
  • Drive system architecture and spearhead best practices for quality infrastructure
  • Be responsible for pre-training multimodal LLMs with a primary focus on computer vision
  • Work closely with Applied Scientists to scale pre-training of machine learning models on GPUs while optimizing training workflows using highly distributed training techniques and frameworks (e.g., FSDP, NVIDIA NeMo, Megatron Core)
  • Investigate design approaches, prototype new technology, and evaluate technical feasibility
  • Work in an Agile/Scrum environment to deliver high-quality software against aggressive schedules

The ideal candidate should have:

  • A passion for new opportunities and a demonstrable track record of success in delivering new features and products
  • Exceptional technical expertise, a sound understanding of Computer Science fundamentals, and practical experience building large-scale distributed systems
  • Strong communication skills to work with both business and technical partners
  • The ability to thrive and succeed in delivering high-quality technology products/services in a hyper-growth environment with rapidly shifting priorities

Join the AGI Foundations team and contribute to building industry-leading generative AI models at Amazon.

Last updated 6 months ago

Responsibilities For Sr. Machine Learning Engineer, AGI Foundations

  • Lead development of novel algorithms and modeling techniques for multimodal systems
  • Pre-train multimodal LLMs with a primary focus on computer vision
  • Scale pre-training of machine learning models on GPUs using distributed training techniques
  • Drive system architecture and best practices for quality infrastructure
  • Investigate design approaches and prototype new technology
  • Work in an Agile/Scrum environment to deliver high-quality software

Requirements For Sr. Machine Learning Engineer, AGI Foundations

Python
  • 5+ years of non-internship professional software development experience
  • 5+ years of programming experience with at least one software programming language
  • 5+ years of experience leading design or architecture (design patterns, reliability, and scaling) of new and existing systems
  • Experience as a mentor, tech lead, or leading an engineering team
  • 2+ years of expertise in Machine Learning and model training
  • Bachelor's degree in computer science or equivalent (preferred)
  • Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations (preferred)

Interested in this job?

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