Social network you want to login/join with:
col-narrow-left
Client:
Tether Operations Limited
Location:
Barcelona, Spain
Job Category:
Other
-
EU work permit required:
Yes
col-narrow-right
Job Reference:
916192518958638694432460
Job Views:
1
Posted:
23.07.2025
Expiry Date:
06.09.2025
col-wide
Job Description:
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, at a fraction of the cost. Transparency is our foundation, ensuring trust in every transaction.
Innovate with Tether
Tether Finance: Our product suite features the trusted stablecoin USDT and digital asset tokenization services.
Additional initiatives include:
* Tether Power: Sustainable energy solutions for Bitcoin mining using eco-friendly practices.
* Tether Data: AI and peer-to-peer technology innovations, including our app KEET.
* Tether Education: Digital learning access for individuals in the digital and gig economies.
* Tether Evolution: Merging technology and human potential for unprecedented innovation.
Why Join Us?
Our global remote team is passionate about fintech innovation. Join us to work with top talent, set new standards, and contribute to a leading industry platform. Excellent English communication skills are essential.
Are you ready to be part of the future?
About the job:
As part of the AI model team, you will innovate in architecture development for models of various scales, including small, large, and multi-modal systems, enhancing AI capabilities and efficiency.
Your expertise in LLM architectures and pre-training optimization will drive research and implementation of novel techniques, addressing bottlenecks and pushing AI performance limits.
Responsibilities:
* Conduct pre-training of AI models on large, distributed GPU servers.
* Design and prototype scalable architectures.
* Execute experiments, analyze results, and refine methodologies.
* Improve model efficiency and computational performance.
* Advance training systems for scalability and efficiency.
Qualifications include a degree in Computer Science or related fields, preferably a PhD in NLP or Machine Learning, with a strong publication record. Practical experience with large-scale distributed training, PyTorch, Hugging Face, and transformer models is required.
#J-18808-Ljbffr