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Client: Tether Operations Limited
Location: Dublin, Ireland
Job Category: Other
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EU work permit required: Yes
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Job Reference: 8de26bd491c6
Job Views: 3
Posted: 22.07.2025
Expiry Date: 05.09.2025
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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 enable businesses to seamlessly integrate reserve-backed tokens across blockchains, utilizing blockchain technology for secure, instant, and global digital transactions with transparency and trust.
Our Products and Initiatives Tether Finance: Features the trusted stablecoin, USDT, and digital asset tokenization services.
Tether Power: Focuses on sustainable growth through eco-friendly Bitcoin mining solutions.
Tether Data: Advances in AI and peer-to-peer tech, including KEET, for secure data sharing.
Tether Education: Provides digital learning opportunities for individuals in the digital and gig economies.
Tether Evolution: Innovates at the intersection of technology and human potential.
Why Join Us?
Our global team works remotely, passionate about fintech innovation.
We value excellent English communication skills and a drive to contribute to cutting-edge platforms.
About the role: As part of the AI model team, you will develop architectures for models of various scales, enhancing AI capabilities and efficiency.
You will explore and implement novel techniques, optimize data curation, and resolve pre-training bottlenecks to push AI performance limits.
Responsibilities: Pre-train AI models on large, distributed NVIDIA 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.
Required qualifications include a degree in Computer Science or related fields, preferably a PhD in NLP or Machine Learning, with proven experience in large-scale LLM training, frameworks like PyTorch and Hugging Face, and a deep understanding of transformer models.
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