Applied Scientist Summer Internship - Speech (ASR/NLU/NLP)

Job description

DESCRIPTION

Amazon is searching for passionate, talented, and inventive researchers currently pursuing a Master's or Doctoral degrees and looking to launch their careers with an industry leader in ASR, NLU, and NLP. Do you have a strong machine learning background and want to help build new Speech and Language technology? Our mission is to push the boundaries in Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), and Audio Signal Processing, in order to provide the best-possible experience for our customers.

As a Speech and Language Scientist, your work will directly impact our customers in the form of products and services that make use of speech and language technology. You would work independently and as a team member, side-by-side with world experts in speech and language, to solve challenging ground breaking research problems, on production scale data.

We are hiring in all areas of spoken language understanding: ASR, NLP, NLU, text-to-speech (TTS), and Dialog Management. Amazon has multiple positions available for Speech Researcher Interns in Seattle, Palo Alto, Boston, New York, Pittsburgh, and Cupertino, for machine learning experts.

Internships last 12-20 weeks and start year round. In order to be considered for an internship you need to be enrolled at a university and plan to return for additional school terms prior to graduating. Otherwise, please apply to the Speech Researcher full-time posting if you are graduating within the next year.

Desired profile

BASIC QUALIFICATIONS

· Master’s or Ph.D. degree in Engineering, Computer Science, Machine Learning, Math, Statistics or related fields with specialization in speech recognition, natural language processing, and/or machine learning.
· Theory and practice of Design of Experiments and statistical analysis of results.
· An understanding of machine learning, algorithms and computational complexity.
· Skills with Java, C++, or other programming language, as well as with R, MATLAB, Python or similar scripting language
· Ability to relate to and solve business problems through machine learning, data mining and statistical algorithms.
· Strong desire to push your ideas into production, overcoming obstacles, in order to benefit Amazon's customers.