Sr. Applied Scientist, SSG Science

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 and 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 platformsFundamentally understand Amazon’s underlying Neural Edge Engine to invent optimization techniquesAnalyze deep learning workloads and provide guidance to map them to Amazon’s Neural Edge EngineUse first principles of Information Theory, Scientific Computing, Deep Learning Theory, Non Equilibrium ThermodynamicsTrain custom Gen AI models that beat SOTA and paves path for developing production modelsCollaborate closely with compiler engineers, fellow Applied Scientists, Hardware Architects and product teams to build the best ML-centric solutions for our devicesPublish in open source and present on Amazon''s behalf at key ML conferences - NeurIPS, ICLR, MLSys.Basic Qualifications
3+ years of building machine learning models for business application experiencePhD, or Master''s degree and 4+ years of applied research experienceExperience programming in Java, C++, Python or related languageExperience with neural deep learning methods and machine learningPrior experience in productionizing ML models and managing their full lifecycle from development to deploymentPreferred Qualifications
Understanding and preferably hands-on experience with recent methods for inference optimization, including Mixture-of-Experts (MoE), Diffusion Models for Language Generation, etc.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.Posted:
September 15, 2025 (Updated 6 days ago)Posted:
September 12, 2025 (Updated 9 days ago)Posted:
July 18, 2025 (Updated 11 days ago)Posted:
August 20, 2025 (Updated 11 days ago)Posted:
February 28, 2025 (Updated 11 days ago)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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