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 Inference Engineer – QVAC
🕒 March 21
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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
• Work on deploying machine learning models to edge devices using llama.cpp, ggml, and onnx • Collaborate closely with researchers to assist in coding, training, and transitioning models from research to production environments • Integrate AI features into existing products
🎯 Requirements
• Excellent programming skills in C++ • Strong experience with Llama.cpp and ggml inference engines • Good understanding of deep learning concepts and model architectures • Experience with transformers, LLMs, and Diffusion models • Demonstrated ability to rapidly assimilate new technologies and techniques • A degree in Computer Science, AI, Machine Learning, or a related field
🏖️ Benefits
• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development opportunities
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