The Job

Applied Scientist, SSG Science

Teknik, data och digitalt · Data, AI och analys · Datavetenskap · Maskininlärning

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I korthet

Amazon is seeking an Applied Scientist to develop advanced Gen AI on edge for consumer products, focusing on optimizing edge models and co-designing with custom ML hardware. The role involves deep understanding of neural engines, applying scientific principles, and collaborating with cross-functional teams to build production-ready ML solutions.

Ansvarsområden

  • Quantize, prune, distill, and finetune Gen AI models for edge platforms.
  • Understand Amazon's Neural Edge Engine to invent optimization techniques.
  • Analyze deep learning workloads and map them to Amazon’s Neural Edge Engine.
  • Apply principles from Information Theory, Scientific Computing, Deep Learning Theory, and Non Equilibrium Thermodynamics.
  • Train custom Gen AI models that surpass state-of-the-art and pave the way for production models.
  • Collaborate with compiler engineers, Applied Scientists, Hardware Architects, and product teams.
  • Publish in open source and present at ML conferences like NeurIPS, ICLR, and MLSys.

Krav

  • 2+ years of experience building models for business applications.
  • PhD, or Master's degree and 4+ years of experience in CS, CE, ML, or related fields.
  • Experience with patents or publications at top-tier peer-reviewed conferences or journals.
  • Proficiency in programming languages such as Java, C++, or Python.
  • Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing.
  • Strong foundation in mathematical concepts like linear algebra and calculus.

Önskade kvalifikationer

  • Experience in professional software development.
  • Prior experience in productionizing ML models and managing their full lifecycle.

Förmåner

  • Inclusive culture that empowers Amazonians.
  • Opportunity to work on state-of-the-art techniques for Gen AI on edge.
  • Develop next generation of edge models and optimize them.
  • Co-design with custom ML HW based on a revolutionary architecture.
#Gen AI#edge models#ML HW#Neural Edge Engine#Information Theory#Scientific Computing#Deep Learning Theory#Non Equilibrium Thermodynamics#ML conferences#NeurIPS#ICLR#MLSys
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Företag

Amazon

Publicerade jobb

för 2 veckor sedan

Anställningstyp

Heltid

Arbetsform

På plats

Erfarenhetsnivå

Mellannivå

Platser

Bengaluru, India

Kvalifikation

Masterexamen, Doktorand

Sökande

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