Deep Learning Scientist

Amazon Science; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Amazon Science in Cambridge, UK, is seeking a passionate Scientist to advance machine/deep learning for spoken language generation. You will work with a team to develop novel algorithms and models that improve Alexa's voice and expressiveness, leveraging large data resources and heterogeneous data sources.

You will lead, mentor, and collaborate with peers to deploy data-driven solutions that directly impact customers through speech technologies and products.

Qualifications

• Experience programming in Java, C++, Python or related language.
• Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse.

Responsibilities

• Research and implement novel Machine/Deep Learning approaches which add value to Amazon
• Lead and Mentor junior engineers and scientists
• Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for spoken language applications
• Develop and/or apply statistical modelling methods (e.g. deep neural networks), optimizations, and other ML techniques to different applications in spoken language engineering

Skills

Java

C++

Python

Tools

SQL

Job description

Description

We are the Audible Research team and our goal is to improve the core technology to improve Alexa's voice and make it more human-like and expressive. We are looking for a passionate, talented, and inventive Scientist with a strong background in Machine/Deep Learning to join us in beautiful Cambridge, UK. Our mission is to push the envelope in computer-generated speech in order to provide the best-possible experience for our customers. As an applied scientist, you will work with talented peers to develop novel algorithms and modelling techniques to advance the state-of-the-art in spoken language generation. 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 computer generated speech.

Position Responsibilities

• Research and implement novel Machine/Deep Learning approaches which add value to Amazon
• Lead and Mentor junior engineers and scientists
• Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for spoken language applications
• Develop and/or apply statistical modelling methods (e.g. deep neural networks), optimizations, and other ML techniques to different applications in spoken language engineering

Basic Qualifications

• Experience programming in Java, C++, Python or related language
• Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse

Preferred Qualifications

• Experience implementing algorithms using both toolkits and self-developed code
• Have publications at top-tier peer-reviewed conferences or journals

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