OverviewAs an Applied Scientist in the Alexa AI team, you will spearhead the advancement and deployment of state-of-the-art ML/RAG systems that revolutionize how millions of customers interact with Alexa. You\'ll leverage your expertise in machine learning, NLP, and LLMs to create reliable, scalable, high-performance products that raise the bar in operational excellence. Working closely with business, engineering, and science teams across Amazon, you\'ll lead high-visibility programs that automate workflows and deliver customer-impacting results through innovative AI solutions.ResponsibilitiesAnalyze and model customer behavior at scale, building novel metrics for personal digital assistants across diverse devices and endpoints. Your work will involve creating deep learning, policy-based learning, and machine learning algorithms that directly impact customer experiences, translating complex data patterns into actionable insights that drive product the building and deployment of automated model training and evaluation pipelines, implementing complex machine learning and deep learning algorithms, and conducting rigorous model and data analysis through online A/B testing. Research and implement novel approaches that push the boundaries of what\'s possible in conversational AI.Own production systems to ensure operational excellence, including on-call responsibilities during peak and non-peak hours. Collaborate with Software Development Engineers to deploy fixes and handle high-severity issues, ensuring ML systems maintain reliability and performance for millions of Alexa customers.A day in the lifeCollaborate with engineers and scientists to build scalable solutions for our conversational assistant. Dive into data analysis, experiment with novel algorithms, and iterate on models based on real-time user feedback. Work in a fast-paced, ambiguous environment to tackle complex technical challenges—from debugging production issues to presenting research findings to stakeholders.About the teamThe Alexa AI team develops the intelligence behind one of the world\'s most popular voice assistants, serving millions of customers globally. We\'re a diverse group of scientists, engineers, and researchers united by our mission to make Alexa more natural, helpful, and delightful. Our culture thrives on innovation, collaboration, and customer obsession. We tackle challenging problems in conversational AI—from natural language understanding to personalization at scale. You\'ll work alongside world-class talent, publish at top-tier conferences, and see your innovations impact customers daily. We move fast, think big, and celebrate both successes and learnings.Basic QualificationsPhD, or a Master\'s degree and experience in Computer Science, Computer Engineering, Machine Learning or related fieldExperience building machine learning models or developing algorithms for business applicationsBar-raising knowledge of programming languages such as Python or Java, with a strong focus on machine learning frameworksExperience in areas such as algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computingUnderstanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data setsExcellent communication skills (written & spoken) and ability to collaborate effectively in a distributed, cross-functional team settingPreferred QualificationsSeveral years of building machine learning models or developing algorithms for business applications experienceHave publications at top-tier peer-reviewed conferences or journalsTrack record of diving into data to discover hidden patterns and conducting error/deviation analysisAbility to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relationsExceptional level of organization and strong attention to detailFluent in written and spoken EnglishAmazon 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 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: December 3, 2025 (Updated about 1 hour ago)Posted: March 6, 2026 (Updated about 3 hours ago)Posted: January 20, 2026 (Updated about 6 hours ago)Posted: March 13, 2026 (Updated about 6 hours ago)Posted: October 24, 2025 (Updated about 7 hours 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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