Overview
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 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 early career research 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 Responsibilities
Understand and contribute to model compression techniques (quantization, pruning, distillation, etc.) while developing theoretical understanding of Information Theory and Deep Learning fundamentals
Work with senior researchers to optimize Gen AI models for edge platforms using Amazon's Neural Edge Engine
Study and apply first principles of Information Theory, Scientific Computing, and Non-Equilibrium Thermodynamics to model optimization problems
Assist in research projects involving custom Gen AI model development, aiming to improve SOTA under mentorship
Co-author research papers for top-tier conferences (NeurIPS, ICLR, MLSys) and present at internal research meetings
Collaborate with compiler engineers, Applied Scientists, and Hardware Architects while learning about production ML systems
Participate in reading groups and research discussions to build expertise in efficient AI and edge computing
Basic Qualifications
Bachelor's degree or above in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
PhD, or a Master's degree and experience with popular deep learning frameworks such as MXNet and TensorFlow
Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
Experience in Java, C++, Python, or a related language
1+ years of industry or academic research experience
Preferred Qualifications
Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
Experience with data modeling, warehousing and building ETL pipelines
Experience with training and deploying machine learning systems to solve large-scale optimizations, or experience in software development
Experience in patents or publications at top-tier peer-reviewed conferences or journals
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 for more information.
If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status.
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