Deep Learning Scientist

Amazon; City Of London; On-site; GBP 85,000 - 130,000; Full time

Job summary

Amazon Audible Research in Cambridge, UK is seeking a passionate Scientist with a strong background in Machine/Deep Learning to join our team. You will develop novel algorithms for spoken language generation and mentor junior engineers to push the boundaries of voice technology.

You will work with large-scale data and compute resources to advance state-of-the-art in speech, influencing Alexa experiences and customer interactions through high-quality, human-like synthesis.

Qualifications

• Strong background in Machine/Deep Learning.
• Experience with spoken language generation is a plus.
• Ability to mentor junior engineers and scientists.

Responsibilities

• Research and implement novel Machine/Deep Learning approaches for Amazon.
• Lead and mentor junior engineers and scientists.
• Participate in design, development, evaluation, deployment and updating of data-driven models for spoken language applications.

Job 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