Machine Learning Systems Engineer

🕒 May 28

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Logo of Tether.to

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

• Architect, build, and operate scalable backend services for a media intelligence platform • Drive architectural decisions across APIs, processing pipelines, distributed compute, storage, and search • Collaborate closely with engineering leadership to define backend architecture • Build distributed, event-driven workflows for media processing • Optimize AI/ML inference workflows for latency, throughput, reliability, and cost

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience • 5-7+ years of backend engineering experience, ideally building scalable distributed systems, media platforms, data pipelines, or high-throughput backend services • 3+ years of experience integrating AI/ML inference systems into backend workflows • Strong expertise in Python and/or Node.js • Experience with HuggingFace transformers ecosystem and deep learning frameworks such as PyTorch and TensorFlow

🏖️ Benefits

• Innovative product suite featuring the world’s most trusted stablecoin, USDT • Driving sustainable growth with energy solutions • Fueling breakthroughs in AI and peer-to-peer technology • Democratizing access to top-tier digital learning • Collaborate with global talent across the world

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