Senior Data Infrastructure Specialist

6 days ago

Singapore beBeeMultimodal Full time $180,000 - $250,000
Job Description:

As a seasoned AI Engineer, you will play a pivotal role in designing and implementing cutting-edge data infrastructure for multimodal models. Your expertise will be instrumental in building high-throughput data pipelines optimized for video and multimodal content processing across large GPU clusters.

Key responsibilities include developing core preprocessing algorithms for various modalities such as video, audio, text, and image, ensuring efficient extraction, synchronization, and normalization of temporal data. Additionally, you will design automated acquisition pipelines for sourcing large-scale video datasets, handling diverse formats, frame rates, annotations, and embedded audio.

Another crucial aspect is architecting robust systems for scalable evaluation and annotation, including prompt-based scoring, perceptual metrics, caption generation, and retrieval-based diagnostics. You will 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.

The ideal candidate should possess strong software engineering skills, experience with petabyte-scale data pipelines and systems, and expertise in orchestration frameworks like Kubernetes and SLURM. A deep understanding of distributed systems and the ability to architect and maintain large-scale data processing systems are also essential.

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