Location: Dublin, Ireland
About HuaweiHuawei's products and services are available in more than 170 countries and are used by a third of the world's population.
Huawei Consumer Business Group (CBG) is one of Huawei's three business units and covers smartphones, PCs and tablets, wearables and cloud services.
Huawei Mobile Services (HMS) is part of CBG and develops new cloud services offered free of charge to Huawei mobile device users.
HMS ecosystem is now the third largest ecosystem in the world with more than 96,000 global apps integrated with HMS Core.
HMS Apps continues to launch globally, with content apps such as HUAWEI Music, HUAWEI Video, HUAWEI Themes, HUAWEI Reader and HUAWEI Game Center taking centre stage in various countries and regions.
About the IRCHuawei 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 Huawei Petal AdsPetal Ads is a smart marketing platform for Huawei devices.
It provides marketing and traffic monetization services for advertisers and publishers worldwide to help them achieve business growth and improve brand value.
It does this by leveraging Huawei's "1+8+N" all-scenario ecosystem, Huawei apps' marketing capabilities, massive premium third-party traffic, and powerful ad technologies.
By now, Petal Ads has cooperated with advertisers spanning 200+ industries, while more than 60,000 apps with more than 730 million monthly active users worldwide have integrated Ads Kit.
About the RoleIn this role, you will contribute to impactful projects, explore innovative approaches to building recommender systems, and apply cutting-edge technologies to deliver the most relevant items to users.
Key ResponsibilitiesDesign and implement recommender system algorithms, ensuring they meet the business and user needsConduct literature reviews and stay up to date with the state-of-the-art in recommender system researchAcquire and prepare datasets for model training and evaluationDevelop practical and innovative models for real-world applicationsEvaluate models, iterate on them, and enhance their performanceProduce technical documentation, research papers, or patent applications as neededNavigate project ambiguities and effectively communicate with internal teams and stakeholdersBuild demonstration systems to showcase model effectivenessRequirementsProven experience in recommender systems developmentStrong programming skills in Python, R, C, or C++Passion for data science, machine learning, and AI technologiesResearch experience, or a PhD, in Computer Science, Mathematics, or StatisticsAbility to work independently, with good project management skillsTrack record of publications in top-tier conferences or journalsONLY CANDIDATES WHO MAY LIVE AND WORK IN IRELAND WITHOUT RESTRICTION CAN BE CONSIDERED FOR THIS POSITION.
DUE TO THE HIGH VOLUME OF REPLIES, ONLY CANDIDATES WHO ARE SHORTLISTED FOR INTERVIEW WILL BE CONTACTED.
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http://career.huawei.com/reccampportal/portal/hrd/weu_rec_all.html
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