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Senior ai engineer (ggml/llama.cpp specialist)

Dublin
Tether Operations Limited
Ai engineer
€60,000 - €80,000 a year
Posted: 23 June
Offer 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—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains, harnessing blockchain technology to store, send, and receive digital tokens securely and instantly worldwide at a low cost. Transparency is fundamental to our trustworthiness.

Innovate with Tether

Tether Finance: Our product suite features the trusted stablecoin USDT and digital asset tokenization services.

Additional initiatives include:

* Tether Power: Eco-friendly energy solutions for Bitcoin mining.
* Tether Data: AI and P2P tech innovations, including KEET.
* Tether Education: Digital learning for the gig economy.
* Tether Evolution: Merging technology with human potential.

Why Join Us?

Our global, remote team is passionate about fintech innovation. We’ve grown rapidly, stayed lean, and lead in the industry. If you excel in English communication and want to contribute to a groundbreaking platform, Tether is your place.

Are you ready to be part of the future?

About the job:

This role involves building versatile AI models for various devices using GGML, to enhance intelligent capabilities across platforms.

Our remote team is rapidly growing, pioneering in AI development, and committed to technological excellence and accessibility.

Responsibilities:

* Deploy ML models on edge devices using llama.cpp, ggml, onnx.
* Collaborate with researchers to code, train, and transition models to production.
* Integrate AI features into existing products with the latest ML advancements.

Requirements:

* Proficiency in Python, C, C++.
* Experience with Llama.cpp and ggml inference engines, GPU deployment.
* Understanding of deep learning, transformers, LLMs.
* Ability to learn new tech quickly.
* Degree in CS, AI, ML, or related with proven AI R&D experience.
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