The Job

Sr. Applied Scientist, SSG Science

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

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In short

Amazon Devices is seeking a Sr. Applied Scientist to develop cutting-edge Gen AI models for edge platforms. This role involves optimizing models, understanding ML hardware architectures, and collaborating with cross-functional teams to build next-generation ML solutions for consumer products.

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

Requirements

  • 3+ years of building machine learning models for business applications.
  • PhD, or Master's degree and 4+ years of applied research experience.
  • Experience programming in Java, C++, Python, or a related language.
  • Experience with neural deep learning methods and machine learning.
  • Prior experience in productionizing ML models and managing their full lifecycle.

Desired Qualifications

  • Understanding and preferably hands-on experience with recent methods for inference optimization, including Mixture-of-Experts (MoE) and Diffusion Models for Language Generation.
#Gen AI#edge devices#ML HW#ML conferences
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Company

Amazon

Job Posted

2 weeks ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Senior

Locations

Bengaluru, India

Qualification

Master, Doctoral

Applicants

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