About Huawei

Huawei Consumer Business Group focuses on User Experience to craft leading cloud services globally. Huawei Consumer BG continues to focus on intelligence and interaction and devote efforts to developing the intelligent devices of the future, to bring about tremendous improvements to the user experience.

Adopting a customer experience-centric approach, Huawei's Consumer Cloud Services aim to provide users around the globe with high-quality digital cloud services to enhance user experience and construct a sustainable cloud service ecosystem for Huawei devices.

Huawei Consumer Cloud Services is committed to providing users with a range of secure, rich, and high-quality services through device-cloud collaboration and by adopting a distinct Internet-based approach. We provide leading cloud services.

Huawei Application Gallery is now one of the top app stores in the world, serving users in numerous countries in Asia, Europe, the Middle East, and Latin America. HiCloud services connect with more than 100 million Huawei phones worldwide, providing users with personal data syncing, storage, and management. Millions of photos and new contacts are added daily, and a huge amount of data has been stored on the cloud. SkyTone brings together more than 50 carriers across 80 countries and regions to provide SIM-free Internet access for millions of users of high-end Huawei phones. Huawei Videos, an amazing, ad-free video service, adopts WiseVideo technology to provide more vivid, smoother videos with beautiful colors.

Huawei Consumer Cloud Services provides developers with the capability to serve users around the world and is committed to building an open and inclusive ecosystem that benefits all.

Huawei Consumer Cloud Services reaches users in more than 200 countries and regions. Accordingly, Huawei Consumer Cloud Services has obtained the relevant approvals in security and private data management in multiple countries and regions around the world. Huawei Consumer Cloud Services continues to deploy cloud services around the world, work alongside partners to provide users with a range of secure and high-quality digital cloud services, unleash its cloud capabilities, and spearhead the sound development of the industry.

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 a world-class, multi-disciplinary Research Centre that collaborates with European universities, global customers, and thought leaders to address medium- to long-term challenges in the ICT space.

As a Principal Researcher, you will take a leadership role in advancing novel approaches to recommender systems. You’ll drive cutting-edge research, collaborate with internal and external stakeholders, and lead initiatives that impact millions of users worldwide.

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

Key Responsibilities

- Lead the design and development of advanced recommender system algorithms that solve complex real-world problems

- Conduct in-depth research, explore novel methodologies, and push the boundaries of current practices in recommender systems

- Manage large-scale datasets and propose innovative solutions for data acquisition, preparation, and utilization

- Define strategic research directions, drive projects, and mentor junior researchers to execute with excellence

- Publish groundbreaking research in top-tier conferences and journals and contribute to Huawei’s global intellectual property portfolio (patents)

- Foster relationships with external research partners, universities, and stakeholders to maintain Huawei’s leadership in ICT research

- Take ownership of demonstrating the real-world impact of research outcomes through practical prototypes or system implementations

Requirements

- Extensive experience in recommender systems and machine learning research, with a track record of innovations and solutions

- Advanced programming and software engineering expertise in Python, R, C, or C++

- Passionate about shaping the future of machine learning and AI technologies

- PhD in Computer Science, Mathematics, Statistics, or related fields with substantial research leadership experience

- Strong publication record in top-tier conferences, journals, and intellectual property

- Proven ability to lead projects from concept through to successful implementation, managing ambiguity and stakeholder expectations

DUE TO THE HIGH VOLUME OF REPLIES, ONLY CANDIDATES WHO ARE SHORTLISTED FOR INTERVIEW WILL BE CONTACTED

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