Applied Scientist - Alexa Speaker Recognition

Job ID: 1641190 | Amazon.com Services LLC

DESCRIPTION

Interested in making Amazon Echo more intuitive? Help us make Alexa personalized to each of our customers. We’re building the speech and language solutions behind Amazon Echo and other Amazon products and services. Come join us!

Alexa is the groundbreaking cloud-based intelligent agent that powers Echo and other devices designed around your voice. Our team is creating the science and technology behind Alexa. The charter for the team is to increase SpeakerID adoption across domains, by recognizing individual speakers with highest accuracy, enabling faster model experimentation, and building automated SpeakerID training workflows. As an Applied Scientist, you will be responsible for building industry-leading intelligent offerings that customers love. You will write production-ready code for applying Artificial Intelligence (AI) and Machine Learning (ML), in order to reduce users cognitive load, reduce friction in their day-to-day activities and finally, inspire our customers by enabling serendipitous discovery of experience.


You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence. Your work will directly impact our customers in the form of novel products and services that make use of speech and language technology.



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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

BASIC QUALIFICATIONS

· PhD or equivalent Master's Degree plus 4+ years of experience in CS, CE, ML or related field
· 2+ years of experience of building machine learning models for business application
· Experience programming in Java, C++, Python or related language
Deep Learning

PREFERRED QUALIFICATIONS

· Graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, or Mathematics
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· Deep Learning or ASR experience
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· A track record of thought leadership and contributions that have advanced the field
· Working knowledge of an OO language like Java, C/C++, Python
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· Ability to communicate complex technical concepts and solutions to all levels of the organization
· Desire, ability and experience mentoring engineers and managers on data modeling concepts
· Write very high quality code that is robust and easy to maintain
· Strong knowledge of data structures, algorithms, OS and distributed systems
· Strong communication and data presentation skills
· PhD with specialization in speech recognition, image recognition, natural language processing, or machine learning
· Strong publication record


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