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 to transition models from research to production and integrating AI features into existing products. This is a fully remote position within a rapidly growing, globally distributed team. The ideal candidate possesses excellent programming skills in Python, C, and C++, strong experience with Llama.cpp and ggml, and a deep understanding of deep learning concepts and model architectures. You will be working on cutting-edge AI solutions and contributing to a company that is a leader in the fintech industry.

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