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Applied Scientist, SSG Science

Amazon · Posted Oct 8

E-commerce, cloud computing, online advertising, and digital streaming services

IN, KA, BengaluruFull-timeOnsiteSenior Level2+ years₹40.0L–₹75.0L yearly100+ applicants
E-CommerceCloud ComputingArtificial IntelligenceDigital StreamingLogisticsConsumer ElectronicsPublic Company
Comp. & BenefitsFull time

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About the role

Amazon Devices is an inventive research and development organization that designs and engineers devices such as the Kindle family, Fire Tablets, Fire TV, Health Wellness, Amazon Echo and Astro. Its Applied Science team works on bringing generative AI to the edge for consumer products, co-designing models with custom ML hardware based on a revolutionary architecture. This role develops and optimizes next-generation edge models, analyzes deep learning workloads for Amazon's Neural Edge Engine, and collaborates with compiler engineers, applied scientists, hardware architects and product teams while publishing at key ML conferences.

What you will do

  • Quantize, prune, distill, finetune Gen AI models to optimize for edge platforms
  • Fundamentally understand Amazon’s underlying Neural Edge Engine to invent optimization techniques
  • Analyze deep learning workloads and provide guidance to map them to Amazon’s Neural Edge Engine
  • Use first principles of Information Theory, Scientific Computing, Deep Learning Theory, Non Equilibrium Thermodynamics
  • Train custom Gen AI models that beat SOTA and paves path for developing production models
  • Collaborate closely with compiler engineers, fellow Applied Scientists, Hardware Architects and product teams to build the best ML-centric solutions for our devices
  • Publish in open source and present on Amazon's behalf at key ML conferences - NeurIPS, ICLR, MLSys.

Skills used in this role

JavaC++Pythondeep learningmachine learninggenerative AImodel quantizationmodel pruningknowledge distillationmodel fine-tuningedge computinginformation theoryscientific computing

What the employer is looking for

  • Bachelor's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
  • Experience programming in Java, C++, Python or related language
  • Experience implementing algorithms using both toolkits and self-developed code
  • Have publications at top-tier peer-reviewed conferences or journals

Benefits and support

  • Compensation and benefits are detailed in the job posting

About Amazon

Amazon.com, Inc. is a multinational technology conglomerate focusing on e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence. Recognized as one of the world's most valuable brands, it operates the largest internet retail marketplace globally alongside its prominent cloud platform, Amazon Web Services (AWS).

Industry
E-Commerce
Company size
1576000+ employees
Founded
1994-07-05
Location
Seattle, Washington, USA
Funding stage
Public Company

Funding

Public Company · $8M raised

Kleiner Perkins
  • 2013-03-22Post Ipo Debt$200M

Leadership

AJ
Andy Jassy

President and Chief Executive Officer

JB
Jeff Bezos

Founder and Executive Chair

BO
Brian Olsavsky

Senior Vice President and Chief Financial Officer

MG

Matt Garman

CEO, Amazon Web Services

DJ
Douglas J. Herrington

CEO, Worldwide Amazon Stores