Deep Learning Scientist, TTS Research

Job title:

Deep Studying Scientist, TTS Analysis

Firm

Amazon

Job description

DESCRIPTION

We’re the Textual content-to-Speech Analysis crew and our purpose is to enhance the core AI know-how to enhance voice technology and make it extra human-like and expressive.

We’re searching for a passionate, proficient, and creative Scientist with a robust background in Machine/Deep Studying to hitch us in Cambridge (UK) or London. Our mission is to push the envelope in computer-generated speech with the intention to present the best-possible expertise for our clients

As an utilized scientist, you’ll work with proficient friends to develop novel algorithms and modelling methods to advance the state-of-the-art in spoken language technology. Your work will instantly affect our clients within the type of services that make use of speech and language know-how. You’ll leverage Amazon’s heterogeneous information sources and large-scale computing sources to speed up advances in pc generated speech.

Place Tasks:
– Analysis and implement novel Machine/Deep Studying approaches which add worth to Amazon
– Lead and Mentor junior engineers and scientists
– Take part within the design, growth, analysis, deployment and updating of data-driven fashions and analytical options for spoken language purposes
– Develop and/or apply statistical modelling strategies (e.g. deep neural networks), optimizations, and different ML methods to completely different purposes in spoken language engineering

We’re open to hiring candidates to work out of one of many following places:

Cambridge, GBR | London, GBR

BASIC QUALIFICATIONS

– PhD, or a Grasp’s diploma and expertise in CS, CE, ML or associated discipline
– Expertise in patents or publications at top-tier peer-reviewed conferences or journals
– Expertise programming in Java, C++, Python or associated language
– Expertise in any of the next areas: algorithms and information constructions, parsing, numerical optimization, information mining, parallel and distributed computing, high-performance computing
– Expertise in constructing machine studying fashions for enterprise utility

PREFERRED QUALIFICATIONS

– Expertise utilizing Unix/Linux
– Expertise in skilled software program growth

Amazon is an equal alternatives employer. We imagine passionately that using a various workforce is central to our success. We make recruiting selections based mostly in your expertise and expertise. We worth your ardour to find, invent, simplify and construct. Defending your privateness and the safety of your information is a longstanding high precedence for Amazon. Please seek the advice of our Privateness Discover (https://www.amazon.jobs/en/privacy_page) to know extra about how we gather, use and switch the non-public information of our candidates.

Our inclusive tradition empowers Amazonians to ship the very best outcomes for our clients. In case you have a incapacity and want an adjustment throughout the utility and hiring course of, together with help for the interview or onboarding course of, please contact the Applicant-Candidate Lodging Workforce (ACAT), Monday by Friday from 7:00 am GMT – 4:00 pm GMT. If calling instantly from the UK, please dial +44 800 086 9884 (tel:+448000869884). If calling from Eire, please dial +353 1800 851 489 (tel:+3531800851489).

Anticipated wage

Location

Cambridge

Job date

Fri, 08 Mar 2024 04:06:33 GMT

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