Senior AI Engineer - Data & Infrastructure for Multimodal Models - Remote

Overview

This position is posted by Jobgether on behalf of Tether.io. We are currently looking for a Senior AI Engineer - Data & Infrastructure for Multimodal Models in the United Kingdom.

We are seeking a Senior AI Engineer to design and implement scalable, high-throughput data pipelines for cutting-edge multimodal AI research. In this role, you will work closely with model researchers to develop infrastructure capable of handling massive video, audio, text, and image datasets across thousands of GPUs. You will optimize distributed data workflows, automate dataset acquisition, and build systems for evaluation and annotation, contributing to next-generation video and multimodal AI models. This role is ideal for engineers who thrive in fast-paced, high-impact environments and are passionate about pushing the boundaries of AI infrastructure. Collaboration, innovation, and technical excellence are central to success in this position.

In Short

• Build and scale data infrastructure optimized for large-scale video and multimodal content processing across GPU clusters.
• Design preprocessing algorithms for video, audio, text, and image modalities to enable efficient extraction, synchronization, and normalization.
• Develop automated pipelines for large-scale video dataset acquisition, managing diverse formats, annotations, and embedded audio.
• Architect systems for scalable evaluation, including prompt-based scoring, perceptual metrics, caption generation, and retrieval diagnostics.
• Collaborate with research teams to co-design model architectures and training schedules across pretraining and fine-tuning stages.
• Optimize distributed data loading and pipeline throughput for training at scale, ensuring robustness across model variants.
• Manage infrastructure for experiment tracking, model versioning, and deployment workflows integrated with production and research platforms.
• Support backend engineering for seamless integration of data and model workflows from prototyping to inference.

Requirements

• Experience in AI engineering and data infrastructure.
• Strong knowledge of multimodal AI models.
• Proficiency in building scalable data pipelines.
• Familiarity with GPU clusters and distributed systems.
• Experience with video, audio, text, and image processing.
• Ability to work in fast-paced environments.
• Strong collaboration and communication skills.
• Technical excellence in engineering practices.

Benefits

• Opportunity to work on cutting-edge AI research.
• Collaborative and innovative work environment.
• High-impact projects with significant contributions.
• Competitive salary and benefits package.
• Flexible working conditions.