Tether.to
Tether.to
Tether.to एक डिजिटल परिसंपत्ति कंपनी है जो स्टेबलकॉइन अवसंरचना और ब्लॉकचेन-आधारित भुगतानों पर केंद्रित है। इसके Tether टोकन संबंधित फिएट मुद्राओं के साथ 1:1 मूल्य बनाए रखने के लिए डिज़ाइन किए गए हैं और इन्हें कई ब्लॉकचेन पर स्थानांतरित किया जा सकता है, जिससे डिजिटल लेनदेन और सीमा-पार भुगतानों में सहायता मिलती है। कंपनी अपनी परिसंपत्तियों और रिज़र्व के बारे में जानकारी भी प्रकाशित करती है तथा डिजिटल परिसंपत्तियों की समझ और उपयोग को बढ़ाने के उद्देश्य से शैक्षिक पहल विकसित करती है, जिनमें मध्य पूर्व, तुर्की और फ़िलीपींस भी शामिल हैं। क्रिप्टो, फिनटेक और वित्त के क्षेत्रों में अपने कार्य के माध्यम से Tether.to वैकल्पिक वित्तीय अवसंरचना और स्थिर डिजिटल मुद्रा अनुप्रयोगों के विकास में योगदान देती है।

AI Research Engineer, Model Compression and Quantization

Develop compression methods for large language and vision-language models used in Tether’s blockchain-based digital finance platform. Improve quantization, distillation, and pruning to run generative AI efficiently on edge devices.

विवरण

  • Reduce generative AI model size and inference latency with low-bit quantization while preserving accuracy and output quality.
  • Distill larger teacher models into smaller student models for multimodal reasoning across text, images, and audio.
  • Prune redundant model parameters and attention heads.
  • Evaluate trade-offs among model size, latency, memory, throughput, and accuracy.
  • Research and apply mixed-precision quantization and other advanced compression methods.
  • Track research on compressing multimodal and generative model architectures.
  • Build reliable compression pipelines and define performance and fidelity metrics.
  • Resolve bottlenecks in production inference.
  • Develop scalable AI systems for edge devices such as smartphones, with low memory use and latency.
  • Record methods, experiments, and results so work can be reproduced and shared.
  • Write technical papers and publish findings at conferences such as NeurIPS, ICML, ICLR, CVPR, ACL, and AAAI.

आवश्यकताएँ

  • Hold a degree in computer science or a related discipline.
  • A PhD in NLP, machine learning, or a related discipline is preferred.
  • Demonstrate a strong AI research and development record, including publications at leading conferences.
  • Have experience with PyTorch or a comparable deep learning framework.
  • Bring practical experience in quantization-aware training and post-training quantization.
  • Have research and practical experience with knowledge distillation.
  • Have research and practical experience with model pruning.
  • Understand neural network architectures and training, including transformers, LLMs, VLMs, backpropagation, optimization, and fine-tuning.
  • C++ familiarity is an advantage.
  • Communicate effectively in English.
  • Specify the country where you intend to work.

लाभ

  • Work remotely from anywhere in the world.
  • Collaborate with a global team and experts across fintech, AI, and blockchain.
  • Contribute to digital finance, blockchain, AI, and peer-to-peer technology products.
  • Have the opportunity to write technical papers and publish at leading conferences.
  • Access professional and research collaboration opportunities.

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