Applied Scientist, SSG Science
4 settimane fa
Amazon Devices is an inventive research and development company that designs and engineers high‑profile devices such as the Kindle family, 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 to 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, optimizing them while co‑designing with custom ML hardware based on a revolutionary architecture. Work hard. Have fun. Make history.Key job responsibilitiesQuantize, prune, distill, and fine‑tune 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, and non‑equilibrium thermodynamics.Train custom Gen AI models that beat SOTA and pave a 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 Qualifications3+ years of building models for business application experience.Experience programming in Java, C++, Python or related language.Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high‑performance computing.Bachelor’s degree in computer science, electrical engineering, or related field.Strong foundation in related mathematical concepts (e.g., linear algebra, calculus, etc.).Preferred QualificationsExperience in professional software development.Prior experience in productionizing ML models and managing their full lifecycle from development to deployment.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.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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