Software Dev Engineer Ii, Stores Foundational AI -sfai

Amazon Amazon · Big Tech · Seattle, WA · Software Development

Software Development Engineer II focused on building generative AI for shopping experiences at Amazon. The role involves designing and implementing stable and efficient training systems for model training and reinforcement learning, collaborating with applied scientists and engineers to improve training efficiency, and developing scalable data infrastructure for Amazon-scale data ingestion and processing across training and evaluation stages. Requires experience with ML and LLM fundamentals, transformer architecture, and training/inference lifecycles.

What you'd actually do

  1. Design and implementation of a stable and efficient training system for model training and reinforcement learning that scale to various of model sizes and architecture.
  2. Collaborate with other talented applied scientists and engineers to improve training efficiency and reliability that accelerates innovation.
  3. Design and implement scalable data infrastructure: that handle Amazon-scale data ingestion, processing, and delivery across different training and evaluation stages;
  4. Quickly learn and adopt state-of-the-art technologies and algorithms in the field of Generative AI.

Skills

Required

  • 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
  • Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques

Nice to have

  • data intelligence
  • smart sampling
  • data signal

What the JD emphasized

  • training system for model training and reinforcement learning
  • scalable data infrastructure

Other signals

  • generative AI for shopping
  • training system for model training and reinforcement learning
  • scalable data infrastructure