Amazon.com - Pittsburgh, PA

posted 6 days ago

Pittsburgh, PA
General Merchandise Retailers

About the position

Join the Amazon AGI team to revolutionize the future of AI by developing breakthrough technologies that dramatically improve the efficiency of large language and foundation models. Work at the frontier of AI research, designing novel approaches for model compression, efficient architectures, long context extension and training optimization that will shape the next generation of AI systems. We're seeking exceptional Applied Scientists to join our team dedicated to solving one of AI's most critical challenges: making foundation models more efficient through lower latency and higher throughput. You'll work on research and new technology development while collaborating with world-class researchers and engineers.

Responsibilities

  • Research and develop novel techniques for efficient runtime inference (low latency, high throughput)
  • Design and evaluate efficient foundation model architectures
  • Create new methods for improving training efficiency
  • Conduct experimental studies to validate efficiency improvements
  • Write high-quality Python code to implement research ideas
  • Collaborate with team members to integrate solutions into production systems
  • Author technical documentation and research papers
  • Present findings to technical and non-technical stakeholders

Requirements

  • 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 programming in Java, C++, Python or related language
  • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Nice-to-haves

  • Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
  • Experience building machine learning models or developing algorithms for business application
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals
  • Experience in professional software development
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