Artificial Intelligence Engineer: Revolutionizing Large Language Models

21 hours ago


Seattle, Washington, United States Amazon Full time

Amazon is at the forefront of Artificial General Intelligence (AGI) and we are seeking a talented Machine Learning Engineer to join our team. As a key player in our AGI group, 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 NVIDIA GPUs.

Your work will directly impact our customers in the form of products and services that make use of Generative AI innovations. 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.

We are committed to diversity and inclusion in the workplace. As an equal opportunity employer, Amazon 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.

Key Responsibilities:

  • Develop and maintain key platforms needed for developing, evaluating, and deploying LLMs for real-world applications
  • Work with other team members to investigate design approaches, prototype new technology, and evaluate technical feasibility
  • Work closely with applied scientists to process massive data, scale machine learning models while optimizing

About the Team:

Our AGI team is working at the forefront of AI, collaborating with top minds pushing boundaries in deep learning, reinforcement learning, and more. You will gain valuable experience and accelerate your career growth by joining our team.

Mission of the Team:

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.

Requirements:

  • 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

Preferred Qualifications:

  • 3+ 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
  • Experience in techniques like kernel fusion and custom kernels to improve GPU utilization, mixed precision training using lower precision and dynamic loss scaling while leveraging hardware-specific mixed precision capabilities and/or demonstrated ability to implement efficient memory management like gradient (activation) checkpointing, gradient accumulation, offloading optimizer states, and smart prefetching

Estimated Salary: $129,300/year - $223,600/year based on location and experience


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