Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have approximately 208,000 employees and we operate in over 170 countries and regions, serving more than three billion people around the world. We are committed to bringing digital to every person, home and organization...
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The Reinforcement Learning Team at the Huawei London Research Centre is seeking a highly skilled and research-driven Machine Learning Scientist to join our team. Our group combines world-class research with impactful applications, earning top honours such as NeurIPS 2020 Black Box Optimisation Challenge – Winners, multiple Best Paper and Best Systems Paper Awards, and industry recognition, including Huawei’s Gold Medals and Best Technology Breakthroughs.
This role focuses on advancing the state-of-the-art in reinforcement learning, Bayesian optimisation, AI agents, large language models (LLMs), and/or vision-language models (VLMs). You will work at the intersection of fundamental research and applied innovation, developing novel algorithms, architectures, and systems that push the boundaries of AI capabilities.
This is a unique opportunity to contribute to high-impact AI research while collaborating with a multidisciplinary and multinational team of scientists and engineers. We value scientific excellence, demonstrated by a strong publication record at top-tier venues, and an eagerness to translate cutting-edge ideas into working prototypes and real-world applications.
Key Responsibilities:
Conduct original research in RL, BO, AI agents, LLMs, and VLMs, leading to publications in top conferences and journals (e.g., NeurIPS, ICLR, ICML, JMLR, and others).
Design and implement new algorithms and models that enable advanced reasoning, planning, perception, and multimodal understanding.
Design and implement new algorithms for efficient decision-making under uncertainty with applications to chemistry, physics, open math problems, and robotics.
Collaborate with cross-functional teams to integrate research outputs into scalable systems and real-world use cases.
Explore novel ways to align and enhance AI agents for complex, open-ended tasks.
Actively engage with the broader research community through publications, talks, and open-source contributions.
Mentor junior researchers and contribute to the scientific culture of the team.
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:
PhD (or equivalent research experience) in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
Strong research track record with publications at top-tier ML/AI venues: ICML, ICLR, JMLR, NeuRIPS and the like.
Deep expertise in at least two of the following: reinforcement learning, Bayesian optimisation, AI agents, LLMs, VLMs.
Proficiency in Python and experience with at least one major ML framework (PyTorch, TensorFlow, or JAX).
Ability to work in a fast-paced, research-oriented environment with ambiguous and evolving goals.
Excellent problem-solving, collaboration, and communication skills.
Ability to lead a team of junior researchers and engineers.
Passion for bridging fundamental AI research with impactful applications.
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