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 – Multi-Modal Reinforcement Learning
🕒 May 19
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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 research on reinforcement learning algorithms for multimodal models, • Design and build reinforcement learning infrastructure that supports scalable training, • Develop and refine reward modeling strategies, • Create and curate multimodal simulation environments and datasets, • Analyze and optimize policy performance across modalities, • Investigate and develop next-generation reinforcement learning paradigms, • Publish research findings in top-tier conferences.
🎯 Requirements
• A Master's degree in Computer Science or a related field is required; • A PhD in Machine Learning, NLP, Computer Vision, or a closely related discipline is preferred, • Proven experience running large-scale reinforcement learning experiments in multimodal and vision-centric systems, • Deep understanding of reinforcement learning algorithms, • Strong proficiency in PyTorch and deep learning frameworks for vision and multimodal AI, • Proven track record of research publications in top-tier conferences.
🏖️ Benefits
• Competitive salary • Flexible work arrangements • Professional development opportunities
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