Location: Ireland

About Huawei

Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We are committed to bringing digital to every person, home and organization for a fully connected, intelligent world.

At Huawei Consumer BG, we develop large-scale cloud services powering intelligent experiences across devices and platforms. Our ecosystem includes Huawei Music, AppGallery, HiCloud, and Huawei Video, serving users in 200+ countries.

Music recommendation is a strategic focus area. We are building next-generation personalization systems that combine listening behavior, acoustic features, metadata, and contextual signals** to drive discovery across smartphones, wearables, and in-car environments.

About the IRC

Huawei Ireland Research Centre's (IRC) mission is to position Huawei as a recognised technology leader and global information and communications technology (ICT) solutions provider. We are building an industry-recognised multi-disciplinary Research Centre of experts focusing on medium-term to long-term issues to achieve this. 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 Job

We are seeking a Senior Research Scientist with expertise in music recommendation or multimodal personalization. Beyond individual contribution, this role involves shaping research direction, guiding more junior scientists and engineers, and driving system-level decisions.

You will work across algorithm design, prototyping, and publication, with the opportunity to deploy research into large-scale production systems.

Responsibilities

- Lead research in music recommendation, user modeling, and audio-aware ranking.

- Define technical direction for projects involving session-based modeling, playlist continuation, and context-aware retrieval.

- Mentor junior researchers/engineers in experimental design, model development, and evaluation.

- Publish in top-tier ML/MIR venues and contribute to Huawei’s patent portfolio.

- Collaborate with engineering teams to transition prototypes into production environments.

Requirements

- PhD in Computer Science, Machine Learning, Music Information Retrieval, or related discipline.

- Strong publication record** in recommender systems, MIR, or large-scale ML.

- Expertise in sequence modeling, representation learning, or multimodal fusion (audio, metadata, user behavior).

- Proficiency in Python or C++, with hands-on experience building experimental pipelines.

- Demonstrated ability to take technical lead on projects and mentor junior team members.

Check out Life at Huawei Ireland Research Centre: https://www.youtube.com/watch?v=3gR64sYSnOA&feature=youtu.be

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