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Tether.to
Tether.to
11 – 50 Darbinieki
FinansesFintechKriptovalūtas
Tether.to ir digitālo aktīvu uzņēmums, kas koncentrējas uz stabilo kriptovalūtu infrastruktūru un blokķēdē balstītiem maksājumiem. Tā Tether tokeni ir izstrādāti, lai saglabātu attiecību viens pret vienu ar atbilstošajām fiat valūtām, un tos var pārskaitīt vairākās blokķēdēs, atbalstot digitālus darījumus un pārrobežu maksājumus. Uzņēmums arī publicē informāciju par saviem aktīviem un rezervēm, kā arī īsteno izglītojošas iniciatīvas, kuru mērķis ir veicināt izpratni par digitālajiem aktīviem un to izmantošanu, tostarp Tuvajos Austrumos, Turcijā un Filipīnās. Darbojoties kriptovalūtu, finanšu tehnoloģiju un finanšu jomā, Tether.to veicina alternatīvas finanšu infrastruktūras un digitālo stabilo valūtu lietojumu attīstību.
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Vakances uzņēmumā

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.

CHŠveiceAttālinātiPilna slodzeVidējais līmenisVecākais speciālistsNepieciešamā Valoda: angļuMākslīgā intelekta pētnieksMašīnmācīšanās inženieris
C++PyTorch

Apraksts

  • 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.

Prasības

  • 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.

Priekšrocības

  • 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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