Senior AI Engineer - Data And Infrastructure Multimodal Models Remote
Senior AI Engineer – Data and Infrastructure for Multimodal Models (100% Remote)
We are looking for an experienced AI infrastructure engineer to design and implement scalable pipelines for massive data workloads, supporting high-impact research across thousands of GPUs.
About the company:
Tether is a global leader in digital financial services, pioneering stablecoin solutions and blockchain infrastructure.
- Build and scale high-throughput data infrastructure optimized for video and multimodal content processing across large GPU clusters (e.g., H100/H200).
- Design core preprocessing algorithms for video, audio, text, and image modalities, enabling efficient extraction, synchronization, and normalization of temporal data.
- Build automated acquisition pipelines for sourcing large-scale video datasets, handling diverse formats, frame rates, annotations, and embedded audio.
- Architect robust systems for scalable evaluation and annotation, including prompt-based scoring, perceptual metrics, caption generation, and retrieval-based diagnostics.
- Collaborate with model researchers to co-design video model architectures (e.g., DiTs, VAEs, spatio-temporal transformers) 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 and modality combinations.
- Manage infrastructure to support experiment tracking, model versioning, and cross-team deployment workflows, integrating with production and research platforms.
- Support backend engineering across research, product, and creative teams to ensure seamless integration of data and model workflows from prototyping to inference.
- Proficient in Python with strong programming skills across backend, infrastructure, and data tooling domains.
- Strong software engineering experience, including 2+ years working with petabyte-scale data pipelines and systems across thousands of GPUs.
- Proven ability to architect and maintain large-scale distributed systems for data processing and delivery.
- Deep expertise in orchestration frameworks such as Kubernetes and SLURM with hands‑on experience deploying and managing high‑throughput workloads.
- Practical experience building pipelines and infrastructure with visual and multimodal datasets, including image/video pipelines.
- Experience building video foundation infrastructure pipelines and workflows in collaboration with LLM and/or video foundation research and engineering teams.
Role Level: N/A
• Work Type:
Full‑Time
• Country:
United Arab Emirates
• City:
Dubai
• Company:
Tether
• Company Website: http://(Use the "Apply for this Job" box below).
• Company Industry: Technology & Internet.
We value diversity and are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status.
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