Sr. Applied Scientist, SSG Science
2 weeks ago
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 scientists to join our Applied Science team and help develop the next generation of edge models, optimize them, and co‑design 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 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, Non Equilibrium Thermodynamics Train custom Gen AI models that beat SOTA and pave the 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 Qualifications 3+ years of building machine learning models for business application experience PhD, or Master's degree and 6+ years of applied research experience Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Preferred Qualifications Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark 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. 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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Sr. Applied Scientist, Last Mile Science
2 weeks ago
Seattle, United States Amazon Full timeSr. Applied Scientist, Last Mile ScienceJob ID: 2927021 | Amazon.com Services LLCHave you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? If so, the WW Amazon Logistics, Business Analytics team is for you....
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Sr. Applied Scientist, AMX Science
1 week ago
Seattle, United States Amazon.com Services LLC Full timeAmazon’s global talent is incredibly complex with unique problems to be solved for each line of business. Global Talent Management (GTM) is centrally responsible for managing and evolving Amazon’s human capital through intelligent talent products and processes. GTM Science is a growing interdisciplinary science team within GTM that develops science...
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Sr. Applied Scientist
2 weeks ago
Seattle, United States Amazon Full timeDescription Amazon's global talent is incredibly complex with unique problems to be solved for each line of business. Global Talent Management (GTM) is centrally responsible for managing and evolving Amazon's human capital through intelligent talent products and processes. GTM Science is a growing interdisciplinary science team within GTM that develops...
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Sr. Applied Scientist
3 weeks ago
Seattle, United States Amazon Full timeAmazon’s global talent is incredibly complex with unique problems to be solved for each line of business. Global Talent Management (GTM) is centrally responsible for managing and evolving Amazon’s human capital through intelligent talent products and processes. GTM Science is a growing interdisciplinary science team within GTM that develops science...
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Sr. Applied Scientist, Prime Video
2 weeks ago
Seattle, United States Amazon Full timeSr. Applied Scientist, Prime Video - Personalization and Discovery Science Prime Video is a first‑stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live...
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Sr Manager, Applied Science, Healthcare AI
2 weeks ago
Seattle, United States Amazon Web Services (AWS) Full timeSr Manager, Applied Science, Healthcare AI – Amazon Web Services (AWS) Join us to lead science and data teams working on AI‑powered healthcare solutions that improve patient care and enhance operational efficiency. Job Overview The Healthcare AI organization at AWS seeks a Sr. Manager of Applied Science to develop innovative products leveraging...
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Sr Manager, Applied Science, Healthcare AI
3 weeks ago
Seattle, United States Amazon Full timeSr. Manager of Applied ScienceThe Healthcare AI organization in AWS is seeking a Sr. Manager of Applied Science to lead science and data teams working on innovative AI-powered healthcare solutions. We are developing innovative products that leverage generative and agentic AI to transform clinical and administrative workflows for healthcare providers. Our aim...
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Seattle, United States Amazon Web Services (AWS) Full timeApplied Scientist, Healthcare and Life Sciences Applied AI Join to apply for the Applied Scientist, Healthcare and Life Sciences Applied AI role at Amazon Web Services (AWS). We are looking for an exceptional senior applied scientist to join the AWS Applied AI Life Sciences organization. You will invent, implement, and deploy state of the art machine...
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Sr. Applied Scientist, AGI Foundations
2 weeks ago
Seattle, United States Amazon Full timeJob ID: 3128807 | Amazon.com Services LLCThe Artificial General Intelligence (AGI) team is looking for a highly skilled and experienced Sr. Applied Scientist to support the development and implementation of state-of-the-art algorithms and models for supervised fine‑tuning and reinforcement learning through human feedback and complex reasoning, with a focus...
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Applied Scientist, Seller Growth Science
3 weeks ago
Seattle, United States Amazon Full timeApplied Scientist, Seller Growth Science Join us in the evolution of Amazon’s Seller business! The Seller Growth Science organization is the growth and development engine for our Store. Partnering with business, product, and engineering, we catalyze SP growth with comprehensive and accurate data, unique insights, and actionable recommendations and...
