Senior AI Inference Engineer

Summary

Join Tether and be part of a global team building the next generation of AI models. Tether is committed to making advanced AI technologies more accessible, focusing on building AI solutions for both large-scale applications and smaller, efficient models for edge devices. The role involves deploying machine learning models to edge devices using frameworks like TVM, MLC, and IREE (MLIR), collaborating with researchers, and integrating AI features into existing products. The company operates entirely remotely, offering a dynamic and globally distributed work environment. Tether's rapid growth and efficient operations have established it as a pioneer in the industry. This position requires excellent programming skills and experience with AI technologies.

Requirements

• Excellent programming skills in Python, C and C++
• Experience with platforms such as TVM, MLC, and IREE (MLIR), which facilitate the deployment of models to specific GPU architectures
• Experience in NLP, computer vision, TensorFlow, PyTorch, JAX and CUDA toolkit
• 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 frameworks such as TVM, MLC, and IREE (MLIR)
• 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