Offers “Amazon”

Expires soon Amazon

MLE - Speaker Recognition

  • San Francisco (City and County of San Francisco)
  • IT development

Job description

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. 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 Machine Learning Engineer to help build industry-leading intelligent offerings that customers love. Our mission is to apply 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. You will mentor junior scientists, and work in a fast paced team environment. Your work will directly impact our customers in the form of novel products and services that make use of speech and language technology.

Desired profile

BASIC QUALIFICATIONS

· Master's degree in Electrical Engineering, Computer Sciences, Mathematics or related field with specialization in speech recognition, natural language processing, or machine learning
· Experience with programming languages such as C/C++, Java, Perl or Python
· Hands-on experiences in speech, speaker recognition or image recognition, natural language understanding and machine learning

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