Member of Technical Staff, Artificial General Intelligence

Amazon Amazon · Big Tech · Sunnyvale, CA · Machine Learning Science

Research role focused on foundational model development for LLMs and multimodal systems, involving model training, dataset design, and pre/post-training optimization, impacting customer-facing products and services.

What you'd actually do

  1. support the development of algorithms and modeling techniques, to advance the state of the art with LLMs
  2. support the foundational model development in an applied research role, including model training, dataset design, and pre- and post-training optimization
  3. leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in LLMs

Skills

Required

  • PhD, or a Master's degree and experience in CS, CE, ML or related field
  • Experience with neural deep learning methods and machine learning
  • 1+ years of building models for business application experience
  • Experience programming in Java, C++, Python or related language

Nice to have

  • PhD in Computer Science, Computer Engineering, Machine Learning or related field
  • Strong experience with Generative Artificial Intelligence (GenAI) technologies and Large Language Models (LLMs)
  • Experience with patents or publications at top-tier peer-reviewed conferences or journals
  • Experience with popular deep learning frameworks, including PyTorch
  • Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF

What the JD emphasized

  • strong deep learning background
  • foundational model development
  • model training
  • dataset design
  • pre- and post-training optimization
  • LLMs
  • multimodal systems

Other signals

  • foundational model development
  • LLMs
  • multimodal systems