Offer summary

Qualifications:

Deep expertise in large language model architectures., Substantial experience in fine-tuning optimization techniques., Proficiency in developing and testing new fine-tuning algorithms., Strong skills in data curation and performance evaluation..

Key responsibilities:

Develop and implement advanced fine-tuning methodologies for AI models.

Conduct controlled experiments and monitor key performance indicators.

Curate high-quality, domain-specific datasets for model training.

Collaborate with teams to deploy and monitor models in production environments.

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 cuttingedge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reservebacked tokens across blockchains. 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. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Tether

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.

But that’s just the beginning:

Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using ecofriendly practices in stateoftheart, geodiverse facilities.

Tether Data: Fueling breakthroughs in AI and peertopeer technology, we reduce infrastructure costs and enhance global communications with cuttingedge solutions like KEET, our flagship app that redefines secure and private data sharing.

Tether Education: Democratizing access to toptier digital learning, we empower individuals to thrive in the digital and gig economies, driving global 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.

Why Join Us?

Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. 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, Tether is the place for you.

Are you ready to be part of the future?

About the job:

As a member of the AI model team, you will drive innovation in supervised finetuning methodologies for advanced models. Your work will refine pretrained models so that they deliver enhanced intelligence, optimized performance, and domainspecific capabilities designed for realworld challenges. You will work on a wide spectrum of systems, ranging from streamlined, resourceefficient models that run on limited hardware to complex multimodal architectures that integrate data such as text, images, and audio.

We expect you to have deep expertise in large language model architectures and substantial experience in finetuning optimization. You will adopt a handson, researchdriven approach to developing, testing, and implementing new finetuning techniques and algorithms. Your responsibilities include curating specialized data, strengthening baseline performance, and identifying as well as resolving bottlenecks in the finetuning process. The goal is to unlock superior domainadapted AI performance and push the limits of what these models can achieve.

Responsibilities:

Develop and implement new stateoftheart and novel finetuning methodologies for pretrained models with clear performance targets.
Build, run, and monitor controlled finetuning experiments while tracking key performance indicators. Document iterative results and compare against benchmark datasets.
Identify and process highquality datasets tailored to specific domains. Set measurable criteria to ensure that data curation positively impacts model performance in finetuning tasks.
Systematically debug and optimize the finetuning process by analyzing computational and model performance metrics.
Collaborate with crossfunctional teams to deploy finetuned models into production pipelines. Define clear success metrics and ensure continuous monitoring for improvements and domain adaptation.