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Senior Applied Scientist, TEAM_Pasquale_DeMaio

1 month ago


Seattle, United States Amazon Full time

Job ID: 2727951 | Amazon Development Center U.S., Inc. We are looking for a senior audio applied scientist with experience and expertise in speech and audio signal processing, machine learning, automatic speech recognition, and/or natural language processing to work on state-of-the-art solutions for applications including speech enhancement, voice analytics, and real-time transcription of conversational audio. Amazon Connect is a highly disruptive cloud-based contact center that enables businesses to deliver engaging, dynamic, and personal customer service experiences. Our team’s charter as part of the Amazon Connect organization is to think big, re-imagine, innovate, and deliver novel, state-of-the-art solutions to audio and video problems. We leverage the latest machine learning and signal processing techniques to surprise and delight our customers. Our applications include real-time audio/video communications, audio/video scene analysis, anomaly detection, and audio/speech/music/image/video processing. BASIC QUALIFICATIONS Experience with neural deep learning methods and machine learning Experience in building machine learning models for business applications Experience programming in Java, C++, Python or related language PhD, or Master's degree and 6+ years of CS, CE, ML or related field experience Expertise in audio signal processing, machine learning, ASR, NLP Track record of publication and patents Ability to travel internationally 2-3 times a year PREFERRED QUALIFICATIONS 10+ years of relevant industry experience in applied science role Professional software development experience for real-time/low latency features Excellent verbal and written communication skills Track record of publishing state-of-the-art papers, generating intellectual properties, and delivering results Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. #J-18808-Ljbffr