Ph3Key job responsibilities /h3pThe Alexa International Science team seeks a Senior Applied Scientist with a strong background in speech models (understanding and generation) and deep learning to help build industry-leading Generative AI technology with speech-to-speech models and multilingual systems. You will drive cross-team scientific strategy for speech quality across international locales, influence partner teams, and deliver solutions that have broad impact across Alexa's global products. /ph3A day in the life /h3pBegin by reviewing experiment results and iterating on model architectures for speech generation. Collaborate with software engineers to optimize model performance for production deployment and partner with product managers to align research priorities with customer needs. Participate in science reviews, paper reading groups, and brainstorming sessions with fellow scientists across the organization, directly impacting how Alexa sounds and communicates with customers in international markets. /ph3About The Team /h3pThe Alexa International Tech team supports Alexa+ global expansion by building science, engineering, evaluation, and quality platforms for global AI product delivery: multi-model AI orchestration, multilingual model and data readiness, speech and language quality, reward modeling, synthetic data generation, automated evaluation, developer tooling, defect analysis, and launch mechanisms. The team works at the intersection of applied AI, speech, distributed systems, developer experience, and customer quality automation. /ph3Basic Qualifications /h3ulliExperience programming in Java, C++, Python, or a related language /liliExperience with neural deep learning methods and machine learning /liliExperience building machine learning models for business application /liliSeveral years of experience in applied research /liliPhD or Master’s degree /li /ulh3Preferred Qualifications /h3ulliExperience with modeling tools such as R, scikit-learn, Spark MLLib, MXNet, TensorFlow, NumPy, SciPy, etc. /liliExperience with large-scale distributed systems such as Hadoop, Spark, etc. /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. /ppCompany - Amazon Development Centre Italy SRL /ppJob ID: A /p /p #J-18808-Ljbffr