Computer Vision Research Scientist

Computer Vision Research Scientist Overview

An exciting opportunity has arisen for a Computer Vision Research Scientist to join a global technology company that is leading the way in artificial intelligence and advanced computing. This permanent, full-time position is based in Central London and is part of an expanding AI research team dedicated to innovative research in multimodal artificial intelligence.

Key Responsibilities

• Conduct pioneering research in multimodal artificial intelligence, focusing on computer vision.
• Design and develop Vision Transformer (ViT) and multimodal model architectures that enhance reasoning, efficiency, and scalability.
• Advance research in multimodal representation learning, alignment techniques, and long-context modeling.
• Investigate scalable training methods for large multimodal foundation models.
• Enhance model performance, robustness, and generalization across various tasks.
• Process and curate extensive multimodal datasets that include images, videos, audio, and text.
• Establish robust pipelines for data cleaning, filtering, annotation, and quality assurance.
• Maintain reproducible datasets through effective versioning and documentation.
• Optimize data sampling strategies and improve dataset quality through iterative evaluation and feedback.
• Develop distributed training systems for large-scale multimodal models.
• Optimize GPU utilization, resource scheduling, and training efficiency.
• Contribute to training and inference frameworks that support scalable model development.
• Improve the reliability, performance, and scalability of AI infrastructure.
• Apply advanced multimodal AI capabilities to intelligent products and user-facing applications.
• Collaborate closely with engineering and product teams to transition research innovations into production.
• Contribute to the ongoing improvement and deployment of cutting-edge AI technologies.

Person Specification

• A degree in Computer Science, Mathematics, Statistics, Artificial Intelligence, or a related technical field.
• Proficient in Python programming with hands-on experience in PyTorch and modern deep learning frameworks.
• Strong algorithmic thinking, mathematical reasoning, and problem-solving skills.
• Excellent communication and collaboration abilities, capable of working effectively in multidisciplinary teams.
• A proactive and self-motivated attitude with a passion for addressing challenging research problems.
• Publications in prominent AI or computer vision conferences such as CVPR, ICCV, ECCV, NeurIPS, ICML, or ICLR are desirable.
• Experience in training or fine-tuning large-scale vision, language, or multimodal models is a plus.
• Contributions to open-source AI projects or relevant research experience in industry or academic settings are advantageous.

Degree Requirement: Bachelor’s

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