AI Innovations Engineer

19 hours ago

Dublin, Dublin City, Ireland beBeeArtificialintelligence Full time €98,309 - €141,310

Shape the Future of Digital Finance

We're pioneering a global financial revolution by harnessing the power of blockchain technology.

Tether empowers businesses to seamlessly integrate reserve-backed tokens across blockchains, enabling secure and instant transactions globally at a fraction of the cost.

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 optimizes excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data fuels breakthroughs in AI and peer-to-peer technology, reducing infrastructure costs and enhancing global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.

Tether Education democratizes access to top-tier digital learning, empowering individuals to thrive in the digital and gig economies, driving global growth and opportunity.

Why Join Us?

You'll collaborate with some of the brightest minds, pushing boundaries and setting new standards in the fintech space.

We've grown fast, stayed lean, and secured our place as a leader in the industry.

If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, we invite you to be part of the future.

About the Job:

As an AI model team member, you will drive innovation in supervised fine-tuning methodologies for advanced models.

Your work will refine pre-trained models to deliver enhanced intelligence, optimized performance, and domain-specific capabilities designed for real-world challenges.

Responsibilities include developing new fine-tuning methodologies, building controlled experiments, identifying bottlenecks, and optimizing the fine-tuning process.

You will also collaborate with cross-functional teams to deploy fine-tuned models into production pipelines.

Requirements:

  • A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field.
  • Hands-on experience with large-scale fine-tuning experiments where your contributions have led to measurable improvements in domain-specific model performance.
  • Deep understanding of advanced fine-tuning methodologies, including state-of-the-art modifications for transformer architectures.
  • Strong expertise in PyTorch and Hugging Face libraries.
  • Demonstrated ability to apply empirical research to overcome fine-tuning bottlenecks.

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