Amazon is looking for a passionate Applied Scientists with strong machine learning background to lead world class Speech and Language technology team. Our mission is to push the envelope 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 Applied Scientists you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in spoken language understanding. Your work will directly impact our customers in the form of 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 spoken language understanding. We are hiring in all areas of spoken language understanding: ASR, NLU, text-to-speech (TTS), and Dialog Management.
Basic Qualifications Graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, or Mathematics with specialization in speech recognition, natural language processing, or machine learning. Familiar with programming languages such as C/C++, Java, Perl or Python.
Preferred Qualifications • PhD with a focus in speech, signal processing, NLP, machine learning, or a related field highly desired • Project management experience desired for working on cross-functional projects • Software development experience • Exposure to scripting languages, relational databases and Linux • Experience working effectively with software engineering teams • Excellent written and verbal communication skills