Applied Scientist, SSG Science

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

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.

BASIC QUALIFICATIONS :

• 3+ years of building models for business application experience
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas : algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
• Bachelor's degree in computer science, electrical engineering, or related field
• Strong foundation in related mathematical concepts (e.g. linear algebra, calculus, etc.)

PREFERRED QUALIFICATIONS :

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're applying in isn't listed, please contact your Recruiting Partner.]]>