Tether.to steyblkoin infratuzilmasi va blokcheynga asoslangan to‘lovlarga e’tibor qaratadigan raqamli aktivlar kompaniyasidir. Uning Tether tokenlari tegishli fiat valyutalariga nisbatan 1:1 qiymatni saqlash uchun ishlab chiqilgan va bir nechta blokcheyn orqali o‘tkazilishi mumkin, bu esa raqamli tranzaksiyalar va transchegaraviy to‘lovlarni qo‘llab-quvvatlaydi. Kompaniya, shuningdek, o‘z aktivlari va zaxiralari haqida ma’lumot e’lon qiladi hamda Yaqin Sharq, Turkiya va Filippinlarda raqamli aktivlarni tushunish va ulardan foydalanishni kengaytirishga qaratilgan ta’lim tashabbuslarini rivojlantiradi. Kripto, fintech va moliya sohalarini qamrab oluvchi faoliyati bilan Tether.to muqobil moliyaviy infratuzilma va barqaror raqamli valyuta ilovalarining rivojlanishiga hissa qo‘shadi.
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.
Tavsif
- 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.
Talablar
- 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.
Imtiyozlar
- 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.