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. Using blockchain technology, Tether allows you to store, send, and receive digital tokens instantly, securely, and globally, at a low cost. Transparency is fundamental to our operations, building trust in every transaction.
Innovate with Tether
Tether Finance: Our product suite features the trusted stablecoin USDT, used by hundreds of millions worldwide, and digital asset tokenization services.
Additionally:
Tether Power: Focused on sustainable growth, optimizing excess power for eco-friendly Bitcoin mining in geo-diverse facilities.
Tether Data: Supporting AI and peer-to-peer tech, reducing infrastructure costs with solutions like KEET, our secure data sharing app.
Tether Education: Making digital learning accessible, empowering individuals in the digital and gig economies.
Tether Evolution: Merging technology with human potential to push innovation and expand possibilities.
Why Join Us?
Our global remote team is passionate about fintech innovation. Join us to work with talented professionals, drive industry standards, and contribute to a rapidly growing, industry-leading company.
If you have excellent English communication skills and want to be part of the most innovative platform, Tether is the place for you.
Are you ready to be part of the future?
About the job:
This role involves developing AI models for various platforms—from lightweight edge devices to large-scale applications—using GGML as a multiplatform inference backend, bringing intelligent features to diverse devices.
Our remote team is rapidly growing, pioneering in the industry. Join us to develop AI models that surpass current standards, advancing technology and accessibility.
Responsibilities:
* Deploy machine learning models to edge devices using llama.cpp, ggml, onnx frameworks.
* Collaborate with researchers to code, train, and transition models from research to production.
* Integrate AI features into existing products, utilizing the latest machine learning advancements.
Qualifications:
* Excellent programming skills in Python, C, and C++.
* Experience with Llama.cpp and ggml inference engines, enabling deployment on specific GPU architectures.
* Understanding of deep learning concepts and architectures.
* Experience with transformers and LLMs.
* Ability to quickly learn new technologies and techniques.
* Degree in Computer Science, AI, Machine Learning, or related field, with proven AI R&D experience.
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