The Artificial General Intelligence (AGI) Inference Engine team is looking for a highly-skilled Senior Applied Scientist, to lead the research and implementation of novel techniques to push the boundaries of efficient inference for Generative Artificial Intelligence (GenAI) models.Key job responsibilitiesExplore emerging inference optimization techniques for LLMs and diffusion modelsDesign and conduct experiments, analyze results and influence Amazon AGI roadmap by providing recommendationsCollaborate with cross-functional teams of engineers and scientists to identify and solve complex problems in GenAIThink big about the arc of development of Gen AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problemsCommunicate results and insights to both technical and non-technical audiences, including through presentations and written reportsA day in the lifeSenior Applied Scientists in our team are independent and have much freedom in the way they contribute. They read recent papers, explore ideas, brainstorm and freely connect with others to cooperate. They detect, investigate and resolve complex problems, sometimes through creating software solutions, and sometimes just through finding and reusing something that exists. They partner with leaders to focus on right things and make good decisions.About the teamOur mission is to build best-in-class, fast, accurate, and cost-efficient large language and diffusion model inference solutions and infrastructure that will enable Amazon businesses to deliver more value to their customers.Basic Qualifications3+ years of research experiencePhD, or Master's degree and 6+ years of applied research experienceExperience with neural deep learning methods and machine learningKnowledge of Machine Learning algorithms and techniquesPreferred QualificationsPhD in Computer Science, Machine Learning, or a related field, with a focus on GenAIExperience in developing and implementing algorithms for LLMs and/or diffusion models inferenceProgramming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorchExcellent problem-solving skills, with the ability to think creatively and critically about complex problemsStrong communication and collaboration skills, with the ability to work effectively with cross-functional teamsExperience with patents or publications at top-tier peer-reviewed conferences or journalsAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.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.