Applied Science Internship - Alexa Speech
Amazon.com Services LLC
DESCRIPTION
Alexa is the groundbreaking voice service that powers Echo and other devices
designed around your voice. Our team is creating the science and technology
behind Alexa. We’re working hard, having fun, and making history. Come join our
team! You will have an enormous opportunity to impact the customer experience,
design, architecture, and implementation of a cutting edge product used every
day by people you know.
We’re looking for a passionate, talented, and inventive graduate student to
help build industry-leading conversational technologies that customers love.
Our team's mission is the enable Alexa to understand sounds and vocalization
beyond speech. As an Applied Science Intern, you will work with talented applied
scientists to develop novel algorithms and modeling techniques to advance the
state of the art in audio processing and speech recognition. Your work will directly
impact our customers in the form of novel products and services that make use
of speech and language technology. You will leverage Amazon’s heterogeneous
data sources and large-scale computing resources to accelerate advances in speech
and language technology.
BASIC QUALIFICATIONS
· A Ph.D. student in Computer Science, Electrical Engineering or related field or a master student in Computer Science, Electrical Engineering or related field with a strong publication records
· Proficient with Python or Matlab
· Familiarity with audio and speech signal processing, speech recognition, or machine learning
·
Good written and spoken communication skills.
PREFERRED QUALIFICATIONS
· A Ph.D. student in Computer Science, Electrical Engineering or related field with a specialization in speech recognition, audio, acoustic and speech processing or deep learning
· Solid publication records
· Strong technical curiosity
· Proficient with Python and C++/Java.
Amazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age
Perspective candidates are encouraged to send their CVs to:
Tao Zhang, Ph.D.
Senior Manager of Applied Science
Alexa Edge ML
Email: taozhng@xxxxxxxxxx