Senior AI Engineer (ggml/llama.cpp Specialist)

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 empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing blockchain technology, Tether enables secure, instant, and global transfer of digital tokens at a low cost. Transparency is fundamental to building trust in every transaction. Innovate with Tether Tether Finance: Our product suite includes the trusted stablecoin USDT , used by hundreds of millions, along with digital asset tokenization services. And that’s just the start: Tether Power: Promoting sustainable growth by optimizing excess energy for eco-friendly Bitcoin mining across diverse, geo-distributed facilities. Tether Data: Supporting AI and peer-to-peer tech, reducing infrastructure costs, and advancing global communication with innovations like KEET , our secure data-sharing app. Tether Education: Providing access to top digital learning, empowering individuals in the digital and gig economies to thrive. Tether Evolution: Merging technology with human potential to push boundaries and craft an innovative future. Why Join Us? Our diverse, remote team spans the globe. If you’re passionate about fintech innovation, this is your chance to collaborate with top talent, challenge norms, and set new industry standards. We’ve experienced rapid growth, maintained agility, and established industry leadership. If you excel in English communication and want to contribute to a groundbreaking platform, Tether is your place. Are you ready to shape the future? About the job: This role focuses on developing advanced AI models for various platforms—from lightweight edge devices to large-scale applications—using GGML as a multiplatform inference backend to bring intelligent features to all devices. Our remote team is rapidly growing and industry-leading. Join us in creating AI solutions that surpass current standards, advancing technology and accessibility. Responsibilities: Deploy machine learning models on edge devices with llama.cpp, ggml, onnx frameworks. Collaborate with researchers to code, train, and transition models from research to production. Integrate AI features into existing products, leveraging the latest in machine learning. Requirements: Proficiency in Python, C, and C++ programming. Experience with Llama.cpp and ggml inference engines for GPU deployment. Understanding of deep learning concepts and architectures. Experience with transformers and large language models (LLMs). Ability to quickly learn new technologies and techniques. Degree in Computer Science, AI, Machine Learning, or related fields, with a proven AI R&D track record. #J-18808-Ljbffr