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Applied Science Manager, Artificial General Intelligence , Frontier AI Assets: Assessments

Amazon AGI · US, WA, Bellevue

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At a glance

Highlights

  • Lead quality strategy safeguarding data workflows for Amazon Nova models.
  • Build LLM-as-a-Judge systems and evaluation rubrics for automated QA.
  • Drive auditing innovation to power state-of-the-art LLM products.

Ideal candidate

Innovative science leader passionate about data quality and LLM evaluation who thrives mentoring teams and driving rigorous auditing standards to improve customer experiences.

Requirements

  • Background in machine learning, statistics, quality assurance and auditing methodologies
  • Experience developing automated evaluation systems including LLM-as-a-Judge
  • Experience leading, hiring and developing a team of Applied Scientists
  • Ability to design auditing strategies, SOPs, quality metrics and sampling methodologies
  • Ability to communicate with senior leadership and cross-functional technical teams

Lab profile

About Amazon AGI

Amazon's AGI lab building frontier LLMs, generative AI, and real-time multimodal conversational assistants.

What they build

  • Large language models
  • Multimodal conversational AI
  • Generative AI products

Known for

  • Frontier model research with RL gyms
  • Real-time inference optimization
  • AI agent security and monitoring
  • Responsible LLM development
More about Amazon AGI →
Apply on the lab’s site ↗

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