2026 - Senior Recommender System Researcher- Contractor, Dublin Pike

Location : Dublin, Ireland

About Huawei Huawei’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, etc. 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 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 Role Huawei Ireland Research Centre's (IRC) mission is to position Huawei as a recognized technology leader and a global provider of information and communications technology (ICT) solutions. We are building an industry-recognized, multi-discipline Research Centre of experts to address real-world issues and collaborate with key European universities and Huawei’s customers.

In 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 Responsibilities

Design and implement recommender system algorithms, ensuring they meet the business and user needs

Conduct literature reviews and stay up to date with the state‑of‑the‑art in recommender system research

Acquire and prepare datasets for model training and evaluation

Develop practical and innovative models for real‑world applications

Evaluate models, iterate on them, and enhance their performance

Produce technical documentation, research papers, or patent applications as needed

Navigate project ambiguities and effectively communicate with internal teams and stakeholders

Build demonstration systems to showcase model effectiveness

Requirements

Proven experience in recommender systems development

Strong programming skills in Python, R, C, or C++

Passion for data science, machine learning, and AI technologies

Research experience, or a PhD, in Computer Science, Mathematics, or Statistics

Ability to work independently, with good project management skills

Track record of publications in top‑tier conferences or journals

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