AI Research Engineer (España)

AI Research Engineer (España)

08 sep
|
Tether.io
|
España

08 sep

Tether.io

España

Join to apply for the AI Research Engineer (Fine-tuning) role at Tether.Join to apply for the AI Research Engineer (Fine-tuning) role at Tether.Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing.
Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving general growth and opportunity.
Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Our team is a global talent powerhouse, working remotely from every corner of the world.



If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Your work will refine pre-trained models so that they deliver enhanced intelligence, optimized performance, and domain-specific capabilities designed for real-world challenges. You will work on a wide spectrum of systems, ranging from streamlined, resource-efficient models that run on limited hardware to complex multi-modal architectures that integrate data such as text, images, and audio.
You will adopt a hands-on, research-driven approach to developing, testing, and implementing new fine-tuning techniques and algorithms. Your responsibilities include curating specialized data, strengthening baseline performance, and identifying as well as resolving bottlenecks in the fine-tuning process. The goal is to unlock superior domain-adapted AI performance and push the limits of what these models can achieve.
Develop and implement new state-of-the-art and novel fine-tuning methodologies for pre-trained models with clear performance targets.
Build, run, and monitor controlled fine-tuning experiments while tracking key performance indicators.



Identify and process high-quality datasets tailored to specific domains. Set measurable criteria to ensure that data curation positively impacts model performance in fine-tuning tasks.
Systematically debug and optimize the fine-tuning process by analyzing computational and model performance metrics.
Define clear success metrics and ensure continuous monitoring for improvements and domain adaptation.
A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D; (with good publications in A* conferences).
Hands-on experience with large-scale fine-tuning experiments, where your contributions have led to measurable improvements in domain-specific model performance.
Strong expertise in PyTorch and Hugging Face libraries with practical experience in developing fine-tuning pipelines, continuously adapting models to new data, and deploying these refined models in production on target platforms.
Demonstrated ability to apply empirical research to overcome fine-tuning bottlenecks. You should be comfortable designing evaluation frameworks and iterating on algorithmic improvements to continuously push the boundaries of fine-tuned AI performance.
Employment type Full-time

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📌 AI Research Engineer (España)
🏢 Tether.io
📍 España

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