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Research Scientist - Recommender Systems - Intern

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Job Description - Research Scientist - Recommender Systems - Intern

Location: Dublin

About Huawei

At Huawei Consumer Business Group, we focus on delivering meaningful improvements to the user experience through intelligent cloud services and next-generation devices. Our goal is to build a secure, sustainable, and high-quality cloud ecosystem that serves users globally.

Our core services include the Huawei AppGallery, now a top global app store; HiCloud, which connects 100+ million devices for seamless data sync and storage; SkyTone, enabling SIM-free internet in over 80 countries; and Huawei Videos, providing ad-free, high-quality streaming.

We work closely with developers to help them reach users in 200+ countries and regions, and we maintain the highest standards in security and privacy worldwide. By partnering with leading carriers and service providers, we continue expanding our cloud capabilities to offer reliable, user-centric services that drive long-term value.

We are looking for people who want to make an impact at scale and help shape the future of cloud services.

About the IRC

Huawei Ireland Research Centre's (IRC) mission is to position Huawei as a recognized technology leader and global information and communications technology (ICT) solutions provider. To achieve this we are building an industry-recognized multi-discipline Research Centre of experts focusing on medium-term to long-term issues. The IRC will work closely with an open innovative ecosystem with Huawei customers to address real-world issues. The IRC will also engage with key European universities to build a basic research capability to support Huawei technical projects.

About the Team

We are a multidisciplinary team combining expertise in computer science, mathematics, and economics, all united by a shared passion for advancing the field of recommender systems. With a dynamic, enthusiastic, and can-do attitude, we tackle every challenge with creativity and energy. We pride ourselves on a collaborative, multicultural environment, where improvement and innovation are at the core of everything we do.

About the Role

Huawei Ireland Research Centre (IRC) mission is to position Huawei as a recognized technology leader and a global provider of information and communications technology (ICT) solutions. To achieve this we are building an industry-recognized multi-discipline Research Centre of experts with focus on medium-term to long-term issues. The IRC will work closely with an open innovative ecosystem with Huawei customers to address real-world issues. The IRC will also engage with key European universities to build a basic research capability to support Huawei technical projects.

In this role, you will have the chance to work on projects that impacting millions of people, explore novel ways to build recommender systems, provide the most relevant items to users.

Check out the Life at Huawei Ireland Research Centre: bit.ly/huawei-irc

Key Responsibilities


  • Build a new recommender systems algorithms that works

  • Literature review and investigate the state of the art

  • Dataset acquisition

  • Build models with novelty, applicability, and practicality in mind.

  • Model evaluation and iteration

  • Write documentation, papers, or patent application (whichever applicable)

  • Navigate ambiguity that might occur in the projects or relationship with stakeholders

  • Building a demonstration system to showcase the value of strength

Requirements


  • Passionate and experience in machine learning and recommender systems

  • Programming experience in Python, R, C, or C++

  • Software engineering background, e.g., you have a Computer Science background, or software engineering working experience

  • Able to work independently and as a team, and drive a project from its inception to the finish line on time

  • Good communication skills and is able to work in a multicultural team and stakeholders

Privacy Statement

Please read and understand our West European Recruitment Privacy Notice before submitting your personal data to Huawei so that you fully understand how we process and manage your personal data received.

http://career.huawei.com/reccampportal/portal/hrd/weu_rec_all.html

Original job Research Scientist - Recommender Systems - Intern posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
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