Senior AI Engineer

Summary

Join Tether and help shape the future of digital finance by building powerful AI models for various devices, from edge devices to large-scale applications. You will utilize GGML as a multiplatform inference backend to bring intelligent capabilities to devices of all sizes. The role involves collaborating with researchers, integrating AI features into existing products, and deploying machine learning models using frameworks like llama.cpp and ggml. This is a fully remote position within a rapidly growing, globally distributed team. The ideal candidate will possess strong programming skills in Python, C, and C++, experience with Llama.cpp and ggml, and a deep understanding of deep learning concepts and model architectures. You will be instrumental in driving technological advancement and broad accessibility of AI solutions.

Requirements

• Excellent programming skills in Python, C and C++
• Strong experience with Llama.cpp and ggml inference engines, which facilitates the deployment of models to specific GPU architectures
• Good understanding of deep learning concepts and model architectures
• Experience with transformers and LLMs
• Demonstrated ability to rapidly assimilate new technologies and techniques
• A degree in Computer Science, AI, Machine Learning, or a related field, complemented by a solid track record in AI R&D

Responsibilities

• Work on deploying machine learning models to edge devices using the frameworks:llama.cpp, ggml, onnx
• Collaborate closely with researchers to assist in coding, training and transitioning models from research to production environments
• Integrate AI features into existing products, enriching them with the latest advancements in machine learning