Research Engineer/Intern - General Decision & Control Agent (Contractor)

Huawei; City of Westminster; On-site; GBP 55,000 - 90,000; Full time

Job summary

Huawei UKRD London Office seeks researchers in Agents and reinforcement learning to advance long-context Agent memory systems and continuous self-evolution of the Agent Harness framework. You will work on Agentic RL techniques, connecting policy models with practical deployment pipelines and collaborating with Huawei’s UK R&D teams.

Ideal candidates have strong engineering or theoretical RL backgrounds, high-impact publications, and a track record in competitive AI research.

Qualifications

• Solid engineering implementation skills or strong theoretical foundations; excel in at least one.
• In-depth theoretical understanding or hands-on experience in Agents, RL, and memory systems.
• First-author publications at top-tier conferences or journals (ICLR/NeurIPS/ICML/ACL/EMNLP).
• High-citation papers or influential open-source Agent projects.
• Outstanding rankings in relevant competitions (Kaggle, ARC-AGI).

Responsibilities

• Design and develop Agent memory systems for ultra-long context processing.
• Explore unified representation and optimisation techniques for Agent Harness.
• Investigate Agent optimisation based on parametric and non-parametric RL and build update pipelines.
• Collaborate with Huawei Research and Development UK Limited to deliver results.

Skills

Agent systems

Reinforcement learning

Memory systems

Self-evolution

Agent Harness

RL pipelines

Job description

London Office of UKRD is dedicated to researching and building sustainable, generalizable and evolvable Agent systems. We believe that enabling models to operate stably over extended periods across diverse task environments with continuous self-iterative optimization is an essential path toward artificial general intelligence. We are seeking passionate, creative talents with expertise in Agents and reinforcement learning to join our team and conduct cutting‑edge research together., Participate in the design and development of Agent memory systems to equip Agents with ultra‑long context processing capabilities and address memory degradation issues in long‑running execution environments. 1. Agent Self‑Evolution Work on building self‑evolution capabilities for Agents. Explore unified representation and optimisation techniques for Agent Harness to realise continuous evolution of the Agent Harness framework. 1. Agentic RL Investigate Agent optimisation techniques based on parametric and non‑parametric reinforcement learning, and build collaborative update pipelines linking Agent policy models and Agent Harness. 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.

• Solid engineering implementation skills OR profound theoretical foundations (candidates must excel in at least one of the two, with promising potential in the other).
• In-depth theoretical understanding or hands‑on practical experience in related fields including Agents, LLM reasoning and reinforcement learning.,
• First‑author publications at top‑tier conferences or journals including ICLR, NeurIPS, ICML, ACL, EMNLP and so on.
• High‑citation research papers or influential open‑source Agent projects.
• Outstanding rankings in relevant competitions such as Kaggle and ARC‑AGI.

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'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…

• Commitment to sufficient working hours: full‑time researchers work five days per week; interns are required to work 2-3 days per week for a minimum duration of six months.