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AI Research Engineer (Fine-tuning), Dublin
Location: Dublin, Ireland
Job Category: Internet
EU work permit required: Yes
Job Reference: 1ragp6yu
Job Views: 1
Posted: 14.07.2025
Expiry Date: 28.08.2025
Job Description:
Join Tether and Shape the Future of Digital Finance
At Tether, we’re building products that are pioneering a global financial revolution. Our solutions enable seamless integration of reserve-backed tokens across blockchains, allowing users to store, send, and receive digital tokens securely and instantly worldwide. Transparency and trust are fundamental to our operations.
Our Products:
* Tether Finance: Home to the trusted stablecoin USDT and digital asset tokenization services.
* Tether Power: Focused on sustainable energy solutions for Bitcoin mining using eco-friendly practices.
* Tether Data: Innovating in AI and peer-to-peer technology with solutions like KEET for secure data sharing.
* Tether Education: Providing accessible digital learning to empower individuals globally.
* Tether Evolution: Merging technology with human potential to push innovation forward.
Why Join Us?
Our remote, global team is passionate about fintech innovation. Join us to work with top talent, challenge boundaries, and influence the future of digital finance. Excellent English communication skills and a desire to contribute to cutting-edge platforms are essential.
About the role:
You will be part of the AI model team, focusing on supervised fine-tuning of advanced models to improve their intelligence, performance, and domain-specific capabilities. Your work will span from resource-efficient models to complex multi-modal architectures involving text, images, and audio.
Qualifications include expertise in large language models, extensive experience in fine-tuning, and a hands-on, research-driven approach. Responsibilities involve developing new techniques, curating datasets, troubleshooting bottlenecks, and deploying models into production.
Responsibilities:
* Develop and implement novel fine-tuning methodologies with performance targets.
* Monitor experiments, track KPIs, and document results.
* Curate high-quality datasets for specific domains.
* Debug and optimize fine-tuning workflows.
* Collaborate with teams to deploy models and monitor their performance.
Requirements include a degree in Computer Science or related fields, ideally a PhD in NLP or Machine Learning, experience with PyTorch and Hugging Face, and a proven track record in AI R&D with publications in top conferences.
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