Applied Scientist, SSG Science

Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Science · Software Engineering

In short

Amazon Devices is seeking an Applied Scientist to develop cutting-edge Gen AI models for edge platforms, optimizing them for custom ML hardware. This role involves understanding deep learning theory, collaborating with cross-functional teams, and publishing research.

Responsibilities

  • 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.
  • Utilize principles of Information Theory, Scientific Computing, Deep Learning Theory, and Non-Equilibrium Thermodynamics.
  • Train custom Gen AI models that achieve state-of-the-art results.
  • Collaborate with compiler engineers, Applied Scientists, Hardware Architects, and product teams.
  • Publish in open source and present at ML conferences like NeurIPS, ICLR, MLSys.

Requirements

  • Bachelor's degree in computer science, mathematics, statistics, machine learning, or equivalent quantitative field.
  • Experience programming in Java, C++, Python, or a related language.

Desired Qualifications

  • Experience implementing algorithms using both toolkits and self-developed code.
  • Publications at top-tier peer-reviewed conferences or journals.

Skills

PythonC++JavaDeep LearningMachine Learning
#Applied Science#SSG Science
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Company

Amazon

Job Posted

1 day ago

Employment Type

Full Time

Work mode

On Site

Experience Level

Mid-Senior

Locations

Bengaluru, India

Qualification

Bachelor

Applicants

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