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.Se è interessato/a a candidarsi per questo lavoro, la preghiamo di assicurarsi di soddisfare i seguenti requisiti, elencati di seguito.Key job responsibilitiesWhat will you do?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 pave 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 Qualifications2+ years of building models for business application experiencePhD, or Master's degree and 4+ years of CS, CE, ML or related field experienceExperience in patents or publications at top-tier peer-reviewed conferences or journalsExperience programming in Java, C++, Python or related languageExperience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computingStrong foundation in relevant mathematical concepts (linear algebra, calculus, etc.)Preferred QualificationsExperience in professional software developmentPrior experience in productionizing ML models and managing their full lifecycle from development to deploymentOur 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.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. xysqume Veterans, military spouses, and people with disabilities are encouraged to apply.#J-18808-Ljbffr

📌 Applied Scientist Ii, Ssg Science (Asti)
🏢 Amazon
📍 Asti