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:
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 Consumer BG Celia Department at the London Research Centre is seeking a Senior Technology Expert to contribute to the development of AI Models and Intelligent Applications.
The Senior Technology Expert will play a key role in tracking the industry trends and technological advancements. Your mission is to align with business needs of Celia Department, identify valuable application scenarios, and propose innovative product solutions, particularly in areas such as large models and intelligent agents. Your work will directly contribute to enhancing the competitiveness of our consumer products.
Key Responsibilities:
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:
2. Over 3 years of experience in training, inference, data science research, or engineering in large models, intelligent agents, or related fields, with a solid foundation in machine learning, artificial intelligence, and reinforcement learning.
3. Extensive and deep knowledge of cutting-edge technologies in large models, with strong learning abilities to continuously monitor new trends and solutions. You should also have a keen sense for commercial applications.
1. Experience in foundational natural language processing, reinforcement learning, or other interdisciplinary applications and research is a plus.
2. Strong logical thinking and excellent skills in analysis, abstraction, synthesis, and communication.
3. At least one representative work achievement that demonstrates your expertise in the field.
What we offer