Amazon Devices is an inventive research and development company that designs and engineers high-profile devices like the Kindle family of products, Fire Tablets, Fire TV, Health Wellness, Amazon Echo & Astro products. This is an exciting prospect 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-design 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 pave the 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
Bachelor's degree in computer science, mathematics, statistics, machine learning, or equivalent quantitative field
Experience programming in Java, C++, Python, or related language

Preferred Qualifications
Experience implementing algorithms using both toolkits and self-developed code
Have publications at top-tier peer-reviewed conferences or journals

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Locations
IND, KA, Bengaluru

📌 Applied Scientist, Ssg Science Bengaluru
🏢 Amazon
📍 Bengaluru