Research Scientist - Computer Vision (Perm) at Huawei R&D UK | England, GB | Rezi

Research Scientist - Computer Vision (Perm) at Huawei R&D UK

Research Scientist - Computer Vision (Perm)

Huawei R&D UK · England, GB

1 months ago

Research Scientist - Computer Vision (Perm)

Huawei R&D UK · England, GB

2 months ago
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About the Role

The London Office of UKRD is a core global R&D institution at Huawei, dedicated to advancing artificial intelligence. This role focuses on breaking frontiers in AI research, particularly in multimodal understanding and generation, vision-language large models, and embodied intelligence, backed by an international research team and abundant computing resources.

Responsibilities

  • Develop ViT and multimodal large model architectures with improved reasoning and efficiency
  • Advance multimodal alignment, representation learning, and long-context modeling
  • Explore scalable training methods for large multimodal models
  • Optimize model architectures for generalization and performance
  • Process large-scale multimodal data across images, videos, audio, and text
  • Build pipelines for data cleaning, filtering, annotation, and quality control
  • Construct and maintain datasets with versioning and reproducibility
  • Optimize data mixtures and sampling strategies for model training
  • Improve data quality through feedback-driven curation loops
  • Build distributed training systems for large-scale multimodal models
  • Optimize GPU utilization, cluster efficiency, and resource scheduling
  • Develop open-source training frameworks for scalable model development
  • Engineer training, inference, and serving infrastructure
  • Improve scalability, stability, and performance of model systems
  • Integrate multimodal capabilities into assistant and content generation scenarios
  • Translate research into production and user-facing applications
  • Collaborate with product and engineering teams to deploy and iterate models

Requirements

  • Proficient in Python programming with strong hands-on experience in PyTorch and deep learning frameworks
  • Strong algorithm development and implementation skills
  • Solid mathematical and logical reasoning ability
  • Excellent cross-functional communication and collaboration skills
  • Self-driven and highly motivated toward advancing artificial intelligence (AI)
  • Strong resilience and the ability to tackle challenging technical problems
  • Strong track record of publications in top-tier AI or computer vision conferences (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR)
  • Hands-on experience in large-scale model pre-training or fine-tuning
  • High-impact open-source projects or internship experience in leading technology companies within CV, NLP, or multimodal domains

Skills

  • Artificial Intelligence (AI)
  • Multimodal Understanding
  • Multimodal Generation
  • Vision-Language Large Models
  • Embodied Intelligence
  • ViT
  • Large Model Architectures
  • Multimodal Alignment
  • Representation Learning
  • Long-Context Modeling
  • Scalable Training Methods
  • Data Processing
  • Data Cleaning
  • Data Filtering
  • Data Annotation
  • Quality Control
  • Dataset Construction
  • Versioning
  • Reproducibility
  • Data Mixtures
  • Sampling Strategies
  • Feedback-driven Curation
  • Distributed Training Systems
  • GPU Utilization Optimization
  • Cluster Efficiency
  • Resource Scheduling
  • Open-source Training Frameworks
  • Model Systems Engineering
  • Inference Engineering
  • Serving Infrastructure Engineering
  • Scalability Improvement
  • Stability Improvement
  • Performance Improvement
  • Multimodal Capabilities Integration
  • Assistant Scenarios
  • Content Generation Scenarios
  • Research Translation
  • Production Deployment
  • User-facing Applications
  • Collaboration
  • Python Programming
  • PyTorch
  • Deep Learning Frameworks
  • Algorithm Development
  • Mathematical Reasoning
  • Logical Reasoning
  • Cross-functional Communication
  • Computer Vision (CV)
  • Natural Language Processing (NLP)

Location

  • King's Cross, London

Work Type

  • Permanent
  • Full-time

Experience Level

  • Bachelor’s degree or above

Education Level

  • Bachelor’s degree or above in Computer Science, Mathematics, Statistics, or related technical disciplines

Benefits

  • 33 days annual leave entitlement per year (including UK public holidays)
  • Group Personal Pension
  • Life insurance
  • Private medical insurance
  • Medical expense claim scheme
  • Employee Assistance Program
  • Cycle to work scheme
  • Company sports club and social events
  • Additional time off for learning and development

About the Company

  • 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 the world.
  • We drive ubiquitous connectivity and promote equal access to networks.
  • We bring cloud and artificial intelligence to provide superior computing power.
  • We build digital platforms to help all industries and organizations become more agile, efficient, and dynamic.
  • We redefine user experience with AI, making it more personalized.
  • Huawei works in close partnership with leading academic institutions in the UK to develop and refine the latest technologies.
  • 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.
  • Huawei's vision is a fully connected, intelligent world.
  • We work to inspire passion for basic research around the world.
  • Our combined passion drives development across the global innovation value chain.