Hardware Machine Learning PhD Research Internship

Tech Stack

Responsibilities

• Architect and develop an ML focused research project based on a real-world trading environment
• Work hands-on with hardware engineers to implement, verify, and deploy ML inference solutions
• Track and evaluate emerging research in neural architecture search, machine learning systems and quantization methods
• Present your project to the team, deepening collective understanding of ML acceleration
• Gain hardware design fundamentals from skilled RTL developers and learn how they apply to the industry

Culture

Requirements