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.

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.