Senior Applied Scientist – Alexa Language Technologies
5 months ago(5 months ago)
A2Z Development Center, Inc.
Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced groundbreaking devices like Fire tablets, Fire TV, and Amazon Echo. What will you help us create?
The Role: Amazon is looking for a passionate, talented, and inventive Sr. Scientist with a strong machine learning background to help build industry-leading Speech and Language technology for a new product. 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. Key responsibilities will be to conduct research and development in speech and related disciplines, and to collaborate with cross-functional engineering teams, including Amazon Robotics, to put the concepts you develop into production.
As a Senior Scientist, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in spoken language understanding and other areas. 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.
- Graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, or Mathematics with specialization in speech recognition, natural language processing, or machine learning. - 5+ years of hands-on experience in predictive modeling and analysis - Algorithm development experience - Experience using Java, C++, or other programming language, as well as with R, MATLAB, Python or similar scripting language
- Experience in building speech recognition and natural language processing systems (e.g. commercial speech products or government speech projects) - Solid Machine Learning background and familiar with standard speech and machine learning techniques. - Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field - Solid software development experience - Good written and spoken communication skills.
Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation