Applied Scientist, Alexa AI

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/80zkqw

ph3Description /h3pAs 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, natural language processing, and large language models to create reliable, scalable, high-performance products that set new standards in operational excellence. /ppAs 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, natural language processing, and large language models to create reliable, scalable, high-performance products that set new standards in operational excellence. /ph3Key job responsibilities /h3pYou'll analyze 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 innovation. /ppYour technical leadership will extend to building and deploying 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. You'll research and implement novel approaches that push the boundaries of what's possible in conversational AI. /ppBeyond model development, you'll ensure operational excellence by taking ownership of production systems, including on-call responsibilities during peak and non-peak hours. Working alongside Software Development Engineers, you'll deploy fixes and handle high-severity issues, ensuring our ML systems maintain the reliability and performance that millions of Alexa customers depend on daily. /ppThe applicable collective agreement for this role is CBA for employees of Telecommunication Sector. The position is classified at level 7 or above, depending on the candidate's skills, competences and experience. /ph3A day in the life /h3pAs an Applied Scientist in the Alexa AI team,



your day will involve collaborating with talented engineers and scientists to build scalable solutions for our conversational assistant. You'll dive into data analysis, experiment with novel algorithms, and iterate on models based on real-time user feedback. Working in a fast-paced, ambiguous environment, you'll tackle complex technical challenges: from debugging production issues to presenting research findings to stakeholders. Your self-motivated approach will drive you to swiftly deliver impactful solutions while maintaining the high standards that define our mission to revolutionize user experiences for millions of customers. /ph3About The Team /h3pThe 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 some of the most challenging problems in conversational AI; from natural language understanding to personalization at scale. Here, 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. /ph3Basic Qualifications /h3ulliKnowledge of statistics or other analytical techniques /liliExperience communicating with a wide range of stakeholders, including colleagues and leadership, or experience managing teams /liliPhD, or a Master's degree and experience in Computer Science, Computer Engineering, Machine Learning or related field /liliExperience building machine learning models or developing algorithms for business application /liliStrong proficiency in programming languages such as Python or Java, with deep expertise in machine learning frameworks /liliExperience in any of the following areas: algorithms and data structures, algorithms, parsing, numerical optimization, data mining, parallel and distributed computing,



high-performance computing /li /ulh3Preferred Qualifications /h3ulliExperience in analytical tasks or projects, working with data /liliSpeak, write, and read fluently in English /liliSeveral years of building machine learning models or developing algorithms for business application experience /liliHave publications at top-tier peer-reviewed conferences or journals /liliTrack record of diving into data to discover hidden patterns and conducting error/deviation analysis /liliExceptional level of organization and strong attention to detail /li /ulpAmazon 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 ( to know more about how we collect, use and transfer the personal data of our candidates. /ppOur 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. /ppThe minimum gross base salary for this position is listed below. The base salary listed corresponds to working on a full-time basis. For tempo parziale hours, the salary will be pro-rated. /ppAmazon reserves the right to offer a higher salary and/or level, depending on the candidate's skills, competencies, and experience. Amazon's package may include a sign on payment. In addition, the candidate may be eligible to participate in a restricted stock unit scheme operated independently by Amazon.com Inc. in USA. Your recruiting team will share final salary and any restricted stock unit scheme if applicable, depending on skills and requirements. /ppIn addition to statutory benefits, and those applicable to the relevant CBA, company supplementary benefits may apply subject to further terms. /ppSee below the minimum gross base salary for this position: /ppTurin, ITA - 68,000.00 EUR Annually /p /p #J-18808-Ljbffr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/80zkqw