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обновлено 19 дней назад

Senior AI Engineer - Data & Infrastructure For Multimodal Models

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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TL;DR

Senior AI Engineer (Data & Infrastructure for Multimodal Models): Designing and implementing scalable data pipelines for processing video and multimodal content across large GPU clusters. Focus on optimizing distributed data loading, preprocessing algorithms, and model training efficiency at scale.

Location: Remote

Company

Tether is pioneering a global financial revolution by building cutting-edge solutions that empower businesses to seamlessly integrate reserve-backed tokens across blockchains.

What you will do

  • Build and scale high-throughput data infrastructure optimized for video and multimodal content processing across large GPU clusters.
  • Design core preprocessing algorithms for video, audio, text, and image modalities.
  • Build automated acquisition pipelines for sourcing large-scale video datasets.
  • Architect robust systems for scalable evaluation and annotation.
  • Collaborate with model researchers to co-design video model architectures and training schedules.
  • Support backend engineering across research, product, and creative teams.

Requirements

  • 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.

Nice to have

  • Practical experience on building pipelines and infrastructure with visual and multimodal datasets, including image/video pipelines.
  • Experience in building video foundation infrastructure pipelines and workflows with collaboration of LLM and/or video foundation research and engineering teams is a strong advantage.

Culture & Benefits

  • Global talent powerhouse, working remotely from every corner of the world.
  • Opportunity to collaborate with some of the brightest minds in the fintech space.
  • Contribute to the most innovative platform on the planet.

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