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.
Machine Learning Engineer Intern
🕒 April 4
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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
• Develop and evaluate scalable deep learning algorithms that are central to our brain decoding initiatives. • Collaborate closely with data scientists to pioneer research in generative modeling and representation learning. • Identify bottlenecks in data processing pipelines and devise effective solutions, improving performance and reliability. • Maintain high standards of code quality, organization, and automatization across all projects. • Adapt machine learning and neural network algorithms to optimize performance in various computing environments, including distributed clusters and GPUs. • Write and revise papers, communicate and disseminate results.
🎯 Requirements
• Degree and currently involved in a PhD program in Computer Science, Statistics, Informatics, Physics, Math, Neuroscience or another quantitative field. • 1+ years of experience of working in industry or research. • Programming skills in Python, with experience in developing machine learning algorithms or infrastructure using Python and PyTorch. • Experience in deep learning techniques such as supervised, semi-supervised, self-supervised learning, and/or generative modeling. • Scientific background and ability to formulate and test novel hypotheses with proper experiments, draw conclusions and support claims. • Managing unstructured datasets with strong analytical skills. • Project management and organizational skills. • Proven ability to support and collaborate with cross-functional teams in a dynamic environment.
🏖️ Benefits
• Work remotely from anywhere in the world
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