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 – Kernel & Inference Optimization
🕒 May 17
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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
• Design and deploy state-of-the-art model serving architectures that deliver high throughput and low latency while optimizing memory usage • Ensure these pipelines run efficiently across diverse environments • Establish clear performance targets such as reduced latency, improved token response, and minimized memory footprint • Build, run, and monitor controlled inference tests in both simulated and live production environments • Track key performance indicators such as response latency, throughput, memory consumption, and error rates • Document iterative results and compare outcomes against established benchmarks • Identify and prepare high-quality test datasets and simulation scenarios • Analyze computational efficiency and diagnose bottlenecks in the serving pipeline • Work closely with cross-functional teams to integrate optimized serving and inference frameworks into production pipelines
🎯 Requirements
• A degree in Computer Science or related field • Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences) • Must have knowledge of Metal Shading Language (MSL) • Proven experience in low-level kernel optimizations and inference optimization on mobile devices is essential • A deep understanding of modern model serving architectures and inference optimization techniques • Must have strong expertise in writing GPU kernels for mobile devices (i.e., smartphones) • Practical experience in developing and deploying end-to-end inference pipelines • Demonstrated ability to apply empirical research to overcome challenges in model serving • Distributed Inference Systems: Designing and optimizing high-performance inference engines
🏖️ Benefits
• Professional development opportunities • Working remotely from every corner of the world
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