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Sr. Applied Scientist, SSG Science

ConfidentialBengaluru / Bangalore, India

18 days ago

Job description

This job is with Amazon, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

Description

Amazon Devices is an inventive research and development company that designs and engineer high-profile devices like the Kindle family of products, Fire Tablets, Fire TV, Health Wellness, Amazon Echo & Astro products. This is an exciting opportunity to join Amazon in developing state-of-the-art techniques that bring Gen AI on edge for our consumer products. We are looking for exceptional scientists to join our Applied Science team and help develop the next generation of edge models, and optimize them while doing co-designed with custom ML HW based on a revolutionary architecture. Work hard. Have Fun. Make History.

Key job responsibilities

What will you do

Quantize, prune, distill, finetune Gen AI models to optimize for edge platforms
Fundamentally understand Amazon&aposs underlying Neural Edge Engine to invent optimization techniques
Analyze deep learning workloads and provide guidance to map them to Amazon&aposs 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&aposs behalf at key ML conferences - NeurIPS, ICLR, MLSys.

Basic Qualifications

3+ years of building machine learning models for business application experience

PhD, or Master&aposs degree and 4+ years of applied research experience

Experience programming in Java, C++, Python or related language

Experience with neural deep learning methods and machine learning

Prior experience in productionizing ML models and managing their full lifecycle from development to deployment

Preferred Qualifications

Understanding and preferably hands-on experience with recent methods for inference optimization, including Mixture-of-Experts (MoE), Diffusion Models for Language Generation, etc.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https : / / amazon.jobs / content / en / how-we-hire / accommodations for more information. If the country / region you&aposre applying in isn&apost listed, please contact your Recruiting Partner.

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Skills Required

Java, information theory, Machine Learning, Python, Deep Learning, Scientific Computing

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Applied Scientist • Bengaluru / Bangalore, India