Alexa is the groundbreaking cloud-based intelligent agent that powers Echo and other devices designed around your voice. We're on a journey to build the Star Trek computer for customers-our mission is to push the envelope in Artificial Intelligence (AI), Natural Language Understanding (NLU), Machine Learning (ML) and Dialog Management, in order to provide the best-possible customer experience.
Amazon Alexa AI has an opportunity for a Language Data Research Manager to lead a team in the field of spoken language understanding. In this role, you will lead brilliant team of data linguists and language experts with a diverse skillset. The team is responsible for data operations for supervised learning algorithms, language expansion and localization, building data pipelines, process improvements, and unique data analysis requests. The team works closely with a team of analysts and Applied Scientists to provide insights and drive improvements on speech and language applications for conversational AI. We are looking for a leader with the ability to guide the team through decisions regarding large-scale data operations and analysis, and their impact on improving the customer experience.
This role requires a thought leader able to see beyond what we are doing today and identify where we will need to be in the future, and get us there through concrete practical steps. A successful candidate will have a broad range of domain skills including linguistics (preferably semantics/pragmatics/discourse analysis), data operations & data management, analytics and data science, and/or a proven track record of achievements in Automatic Speech Recognition/Natural Language Processing/Natural Language Understanding,
Additional responsibilities include:
* Supporting a team with multidisciplinary and talented people, requiring management skills that enable them to thrive
* Partnering with teams across the organization to piece together data, models, and infrastructure into a cohesive end-to-end solution
* Regular reporting on the status of development, quality, and operations to upper-level leadership
A successful candidate will have a strong technical ability, excellent people and project management skills, great communication skills, and a motivation to achieve results in a fast-paced environment. They will develop and support their own team, build customer-facing experiences, and manage their own projects.
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