Sr. applied scientist, alexa international

Key job responsibilities The 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. A day in the life Begin 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. About The Team The 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. Basic Qualifications Experience programming in Java, C++, Python, or a related language Experience with neural deep learning methods and machine learning Experience building machine learning models for business application Several years of experience in applied research Ph D or Master’s degree Preferred Qualifications Experience with modeling tools such as R, scikit-learn, Spark MLLib, MXNet, Tensor Flow, Num Py, Sci Py, etc. Experience with large-scale distributed systems such as Hadoop, Spark, etc. Amazon 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. Company - Amazon Development Centre Italy SRL Job ID: A10438450 #J-18808-Ljbffr