Amazon

Senior Applied Scientist, Alexa Speech

3+ months agoSeattle, WA

DESCRIPTION

Amazon is looking for a senior scientist for the Paralinguistics Applied Science team with a strong background in Deep Learning, Automation Speech Recognition or Natural Language Processing. The Paralinguistics Applied Science team helps Alexa understand "How" our customers are speaking and helps modulate it voice accordingly. We build models that enhance ASR engine to be robust to dysarthria or disfluencies in speech. Our North Star is to make Alexa instantly familiar, ever-present personal assistant, advisor, and companion who works equally well for everyone. Alexa understands everyone seamlessly through natural interactions that accommodates the users and can offer additional assistance for customers with speech impairment, such as speech therapy and being the voice of communication for customers in need. We are the team, that works on giving Alexa a human-like, Lombard Effect, where it adjusts its volume accordingly to the environment.

As a Senior Applied Scientist in the team, you will work on state of the art deep learning models that understand disfluent or dysarthric speech and help modulate Alexa's voice so that its work for everyone. We take pride in publishing our work in leading speech conferences like Interspeech and ICASSP and help improve the state of the art of the speech industry. The ideal candidate will use their background in speech recognition to build Robust ASR models as well as classification models to detect disfluent speech. They will work in large scale distributed system that works on millions of hours of speech data, while respecting the privacy of our users. We welcome scientists from other backgrounds like Computer Vision, Natural Language Processing, Reinforcement learning and Operations Research to apply for this role. In this role, you'll get an opportunity to advance your skills in ASR, Reinforcement learning, Bayesian Statistics and Classification models.

BASIC QUALIFICATIONS

• PhD degree with 4 years of applied research experience or a Masters degree and 6+ years of experience of applied research experience
• 3+ years of experience in building machine learning models for business application
• Experience programming in Java, C++, Python or related language
• Experience in working with Python
• Experience building Deep learning models
• Experience with large scale distributed systems
• Experience with Tensorflow or PyTorch
• Extensive knowledge in how RNNs, CNNs or LSTM models work.

PREFERRED QUALIFICATIONS

Amazon is an Equal Opportunity Employer Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation /Age

Job ID: Amazon-1235249