Multimodal Research Architect

1 week ago

Dublin, Dublin City, Ireland beBeeResearch Full time €80,000 - €120,000

We are at the forefront of digital finance innovation, harnessing blockchain technology to empower businesses worldwide with seamless, instant, and secure transactions.

Our cutting-edge solutions feature the world's most trusted stablecoin, USDT, relied upon by hundreds of millions, alongside pioneering digital asset tokenization services.

Innovate with Us
  • Tether Finance: Our innovative product suite optimizes excess power for Bitcoin mining using eco-friendly practices in state-of-the-art facilities.
  • Tether Power: Driving sustainable growth, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.
  • Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.
  • Tether Education: Democratizing access to top-tier digital learning, we drive global growth and opportunity.

As a member of the AI model team, you will pioneer multimodal and video-centric research that drives innovation in architecture development for cutting-edge models of various scales. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.

Responsibilities:
  1. Pioneer novel architectures for multimodal language models, integrating text, visual, and audio modalities.
  2. Engineer scalable training and inference pipelines optimized for large-scale multimodal datasets and distributed GPU systems.
  3. Optimize systems and algorithms for efficient data processing, model execution, and pipeline throughput.
  4. Build modular tools for preprocessing, analyzing, and managing multimodal data assets (e.g., images, video, text).

You will have a deep expertise in video generation model architectures with a hands-on, research-driven approach. You will explore and implement novel techniques and algorithms that lead to groundbreaking advancements: data curation, strengthening baselines, identifying and resolving existing pre-training bottlenecks to push the limits of model performance.

Become a part of our innovative team and contribute to shaping the future of digital finance.

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