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Research Intern -CCS

Huawei R&D UK

Office

London, United Kingdom

Internship

About Huawei Research and Development UK Limited

 

Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and regions, serving more than three billion people around the world.

Our vision and mission is to bring digital to every person, home and organization for a fully connected, intelligent world. To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power where you need it, when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether they’re at home, in the office, or on the go.

This spirit of innovation has led Huawei to work in close partnership with leading academic institutions in the UK to develop and refine the latest technologies. With a shared commitment to innovation and progress, both parties have worked together to achieve common goals and establish a strong partnership. The partnership between UK and Huawei help to develop the technologies of the future that will transform the way we all communicate, work and live.

 

For the past 30 years we have maintained an unwavering focus, rejecting shortcuts and easy opportunities that don't align with our core business. With a practical approach to everything we do, we concentrate our efforts and invest patiently to drive technological breakthroughs.

This strategic focus is a reflection of our core values:

  • staying customer-centric,
  • inspiring dedication,
  • persevering,
  • growing by reflection.

Huawei Research and Development UK Limited Overview

Huawei’s vision is a fully connected, intelligent world. To achieve this, we work to inspire passion for basic research around the world. Our combined passion drives development across the global innovation value chain. Huawei has the largest Research and Development organization in the world with 96,000+ employees in research centers around the globe. In the UK, we already have design centers in Cambridge, London, Edinburgh and Ipswich. We continue to explore and define new research directions and new services. We have expanded our collaborations with academic researchers; researched new network architectures, integration of communications and key enabling technologies; and developed the fundamental theories of these technologies. We invite you to join us on this exciting journey and drive your career forward.

 

Job Summary

The Huawei Consumer Cloud service (CBG Cloud) team is seeking highly skilled and motivated Research Intern to join our leading AI research and development team. This internship provides a unique opportunity to work on advanced video and image understanding, collaborating with experienced researchers to develop novel algorithms that will process and comprehend dynamic visual content. This is a hands-on role where you will apply your skills to practical problems and contribute to cutting-edge research in a supportive and innovative environment. The CBG Cloud team at London Research Centre is committed to providing a full-scenario, high-quality smart life experience for hundreds of millions of users by enhancing the AI abilities in our products like Huawei Video, Music, Reading, Browser and Game, and we would like you to help us achieve this.

Key Responsibilities:

  • Work to solve challenges and conducting cutting-edge applied research relating to our businesses, i.e. Video, Music, Reading, Browser, Game.
  • Design, implement, and evaluate machine learning models and algorithms. This includes developing advanced techniques for image and video analysis, such as object recognition, segmentation, tracking, and the understanding of dynamic scenes.
  • Contribute to building and refining new multimodal models that integrate video and image data, ensuring they are robust, efficient, and scalable for processing large-scale visual data, analyzing results to identify failure modes and drive iterative improvements.
  • Collaborate with cross-functional teams, and provide technical guidance and support to team members, fostering a collaborative and innovative environment.
  • Contribute to research publications, presentations, and intellectual property development as appropriate.

This job description is only an outline of the tasks, responsibilities and outcomes required of the role. The jobholder will carry out any other duties as may be reasonably required by his/her line manager. The job description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited.

Person Specification:

  • Required:
    • Currently pursuing a Master's or Ph.D. degree in Computer Science, Machine Learning, or a related technical field, with a strong focus on visual content and understanding
    • Experience with large language models, video understanding, temporal modeling, action recognition, or multi-object tracking, demonstrated through coursework, personal projects, previous internships, or publications.
    • Solid grasp of fundamental machine learning and computer vision concepts, with hands-on experience applying these principles to practical projects. Strong problem-solving and analytical skills, with a detail-oriented approach to your work.
    • Good communication and collaboration skills, with the ability to work effectively in a team.

What we offer

  • Assign with an industry expert as Mentor
  • Fixed term employment contract up to two years
  • 33 days annual leave entitlement per year (including UK public holidays)
  • Group Personal Pension
  • Employee Assistance Programme
  • Life insurance
  • Corporate social events

Research Intern -CCS

Office

London, United Kingdom

Internship

August 19, 2025

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Huawei R&D UK