Senior Applied Scientist, AGI – Intelligent Decisions

Job title:

Senior Utilized Scientist, AGI – Clever Choices

Firm

Amazon

Job description

BASIC QUALIFICATIONS– PhD in engineering, know-how, laptop science, machine studying, robotics, operations analysis, statistics, arithmetic or equal quantitative discipline
– Expertise with neural deep studying strategies and machine studying
– Expertise in constructing machine studying fashions for enterprise software
– Expertise in utilized analysis
– Expertise programming in Java, C++, Python or associated language
– Do you could have expertise in patents or publications at top-tier peer-reviewed conferences or journals?DESCRIPTIONThe Synthetic Basic Intelligence workforce (AGI) has an thrilling place for a Senior Utilized Scientist with a robust background Machine Studying and Massive Language Fashions to play a vital function in driving the deployment of state-of-the-art conversational techniques.
As a part of this workforce, you’ll collaborate with gifted scientists and software program engineers to allow conversational assistants capabilities to help using exterior instruments and sources of data, and develop novel reasoning capabilities to revolutionise the consumer expertise for hundreds of thousands of Alexa clients.Key job obligations
As a Senior Utilized Scientist, you’ll lead the event of revolutionary options to massive and complicated issues. You’ll use your technical experience to develop and deploy novel algorithms and modelling options in collaboration with different scientists and engineers.
You’ll analyse buyer behaviours and outline metrics to allow the identification of actionable insights and measure enhancements in buyer expertise.
You’ll talk outcomes and insights to each technical and non-technical audiences, together with by shows and written studies and exterior publications.
You’ll mentor and information junior scientists and contribute to the general progress and growth of the workforceWe’re open to hiring candidates to work out of one of many following areas:Cambridge, GBR | London, GBRPREFERRED QUALIFICATIONS– Expertise with modeling instruments corresponding to R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy and many others.
– Expertise with massive scale distributed techniques corresponding to Hadoop, Spark and many others.Amazon is an equal alternatives employer. We imagine passionately that using a various workforce is central to our success. We make recruiting choices 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 prime precedence for Amazon. Please seek the advice of our Privateness Discover (https://www.amazon.jobs/en/privacy_page) to know extra about how we accumulate, use and switch the non-public information of our candidates.Our inclusive tradition empowers Amazonians to ship one of the best outcomes for our clients. You probably have a incapacity and want an adjustment through the software and hiring course of, together with help for the interview or onboarding course of, please contact the Applicant-Candidate Lodging Staff (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, 05 Apr 2024 01:22:11 GMT

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