Applied Scientist Ii, Ascs AI Lab Team

Amazon Amazon · Big Tech · Sunnyvale, CA · Applied Science

Applied Scientist II role focused on developing and deploying Generative AI, Agentic AI, LLMs, Diffusion Models, and other advanced ML/DL solutions for Amazon's catalog and shopping experiences. The role involves research, model development, training, and deployment of AI agents in a production environment, impacting millions of customers globally. Requires experience in building models for business applications, publications, and programming skills.

What you'd actually do

  1. Design and implement novel AI solutions for Amazon catalog of products
  2. Develop and train state-of-the-art LLMs, Diffusion Models, and other Generative AI models
  3. Build and deploy autonomous AI Agents in Amazon production ecosystem
  4. Scale AI models to handle billions of diverse products across multiple languages and geographies
  5. Conduct research in areas such as Autonomous AI Agents, Generative AI, Language Modeling, Multi-modality Computer Vision, Diffusion Models, Reinforcement Learning

Skills

Required

  • building models for business application
  • CS, CE, ML or related field experience
  • patents or publications at top-tier peer-reviewed conferences or journals
  • Java, C++, Python or related language
  • algorithms and data structures
  • parsing
  • numerical optimization
  • data mining
  • parallel and distributed computing
  • high-performance computing

Nice to have

  • Unix/Linux
  • professional software development

What the JD emphasized

  • pioneering AI research
  • Generative AI
  • Agentic AI
  • Large Language Models (LLMs)
  • Diffusion and Flow Models
  • advanced Machine Learning and Deep Learning solutions
  • AI research and AI products
  • foundational and application layers
  • experiment with LLMs and deep learning techniques
  • apply your research to solve real-world problems at an unprecedented scale
  • contribute to Amazon's scientific innovation
  • redefining the future of shopping
  • directly influence how customers interact with the world's largest online store
  • novel AI solutions
  • state-of-the-art LLMs
  • Diffusion Models
  • Generative AI models
  • autonomous AI Agents
  • Amazon production ecosystem
  • Scale AI models
  • billions of diverse products
  • multiple languages and geographies
  • Autonomous AI Agents
  • Generative AI
  • Language Modeling
  • Multi-modality Computer Vision
  • Diffusion Models
  • Reinforcement Learning
  • integrate AI models into Amazon's production ecosystem
  • Contribute to the scientific community through publications and conference presentations
  • 3+ years of building models for business application experience
  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals

Other signals

  • Generative AI
  • Agentic AI
  • LLMs
  • Diffusion Models
  • Flow Models
  • Machine Learning
  • Deep Learning
  • autonomous AI Agents
  • production ecosystem
  • billions of diverse products
  • multiple languages and geographies
  • Multi-modality Computer Vision
  • Reinforcement Learning
  • publications
  • conference presentations