Research Scientist, SSG Science

7 giorni fa


Torino, Italia Amazon A tempo pieno

Amazon Devices is an inventive research and development company that designs and engineers high‑profile devices such as the Kindle family of products, Fire Tablets, Fire TV, Health & Wellness, Amazon Echo & Astro products. This is an exciting opportunity to join Amazon and develop state‑of‑the‑art techniques that bring Gen AI to edge devices 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, optimize them, and co‑design custom ML hardware based on a revolutionary architecture. Work hard. Have fun. Make history. Key Job Responsibilities Understand and contribute to model compression techniques (quantization, pruning, distillation, etc.) while developing a 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 an equivalent quantitative field PhD, or a master’s degree and experience with popular deep learning frameworks such as MxNet and Tensor Flow 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 an 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 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. Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status. #J-18808-Ljbffr



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