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, Model Compression & Quantization
🕒 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
• Drive innovation in model serving and inference architectures for advanced AI systems • Focus on optimizing model deployment and inference strategies to deliver high-performing models • Engineer robust inference pipelines, establishing comprehensive performance metrics • Identify and resolve bottlenecks in production environments • Collaborate 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 • Your contributions should have led to measurable improvements in inference latency, throughput, and memory footprint for domain-specific applications, particularly on resource-constrained devices and edge platforms • A deep understanding of modern model serving architectures and inference optimization techniques is required • 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, from optimizing models for efficient serving to integrating these solutions on resource-constrained devices is required
🏖️ Benefits
• Competitive salary • Flexible working hours • Professional development opportunities • Remote work options
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