Key job responsibilitiesThe 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.
Si assicuri di leggere attentamente le informazioni relative a questa opportunità prima di inviare la sua candidatura.
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 lifeBegin 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 TeamThe 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 QualificationsExperience programming in Java, C++, Python, or a related languageExperience with neural deep learning methods and machine learningExperience building machine learning models for business applicationSeveral years of experience in applied researchPhD or Master’s degreePreferred QualificationsExperience with modeling tools such as R, scikit-learn, Spark MLLib, MXNet, TensorFlow, NumPy, SciPy, 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. xjrgpwk
We value your passion to discover, invent, simplify and build.Company
- Amazon Development Centre Italy SRLJob ID: A10438450
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