Tether.to
11 - 50 employees
Founded 2014
₿ Crypto
💳 Fintech
💸 Finance
Crypto • Fintech • Finance
Tether. to is a leading digital asset company that pioneers the use of stablecoins in the blockchain space. As the most widely adopted stablecoin, Tether tokens are designed to be pegged 1-to-1 with fiat currencies, offering a stable digital asset option for users. The platform facilitates these token transactions across multiple blockchains, enhancing cross-border transactions while maintaining transparency with daily records of total assets and reserves. Tether's initiatives include educational programs promoting digital asset usage, especially targeting regions like the Middle East, Turkey, and the Philippines. Tether thus positions itself as a disruptor in the traditional financial system by enabling a stable, efficient method of handling transactions in the digital currency world.
AI Research Engineer – Pre-training, LLM, Multi-Modal
🔥 0 minutes ago
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Tether.to
11 - 50 employees
Founded 2014
₿ Crypto
💳 Fintech
💸 Finance
Crypto • Fintech • Finance
Tether. to is a leading digital asset company that pioneers the use of stablecoins in the blockchain space. As the most widely adopted stablecoin, Tether tokens are designed to be pegged 1-to-1 with fiat currencies, offering a stable digital asset option for users. The platform facilitates these token transactions across multiple blockchains, enhancing cross-border transactions while maintaining transparency with daily records of total assets and reserves. Tether's initiatives include educational programs promoting digital asset usage, especially targeting regions like the Middle East, Turkey, and the Philippines. Tether thus positions itself as a disruptor in the traditional financial system by enabling a stable, efficient method of handling transactions in the digital currency world.
📋 Description
• Conduct foundational pre-training for LLMs and Multi-Modal models • Design, prototype, and scale innovative architectures • Source, filter, and curate massive-scale datasets • Independently and collaboratively execute experiments • Investigate, debug, and eliminate bottlenecks in model efficiency • Contribute to the advancement of distributed training systems
🎯 Requirements
• A degree in Computer Science or related field • Ideally PhD in NLP, Machine Learning, or a related field • Hands-on experience contributing to large-scale LLM or Multi-Modal pre-training runs • Familiarity with large-scale, distributed training frameworks, libraries and tools • Deep knowledge of state-of-the-art transformer and non-transformer modifications • Strong expertise in PyTorch and Hugging Face libraries
🏖️ Benefits
• Transparent work culture • Collaboration with global teams • Opportunity to work on groundbreaking AI technologies • Professional growth and development
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