Member of Technical Staff, Agi Autonomy

Amazon Amazon · Big Tech · San Francisco, CA · Applied Science

This role is focused on developing foundational capabilities for AI agents, combining LLMs with RL for reasoning, planning, and world modeling in virtual and physical environments. The role involves maintaining a task management system to support data and reliability improvements, with a focus on building the agent system from the ground up.

What you'd actually do

  1. You will be responsible for maintaining our task management system which supports many internal and external stakeholders and ensures we are able to continue adding orders of magnitude more data and reliability.

Skills

Required

  • Experience in data collection and evaluation to drive impact
  • Experience with A/B testing
  • Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations, or experience with general troubleshooting/debugging of hardware

Nice to have

  • Experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems, or experience leading and influencing your team or organization
  • Experience in Postgres, or experience in managing and troublshooting network and experience with automation and any version control tools
  • Experience mentoring or training the engineering community on complex technical issues

What the JD emphasized

  • foundational capabilities for useful AI agents
  • combines large language models (LLMs) with reinforcement learning (RL) to solve reasoning, planning, and world modeling
  • virtual and physical environments
  • build it from the ground up

Other signals

  • developing foundational capabilities for useful AI agents
  • combines large language models (LLMs) with reinforcement learning (RL) to solve reasoning, planning, and world modeling
  • build it from the ground up