The role involves leading the development and deployment of large-scale machine learning models using advanced infrastructure. The individual will drive model system codesign practices to meet technical and business requirements while improving efficiency across various platforms. Responsibilities include conducting performance analysis, developing tools for distributed training and inference, and optimizing models for next-generation hardware. The position requires guiding cross-functional efforts to integrate data generation, model development, and deployment pipelines. Additionally, the role entails mentoring junior engineers and managing a team of approximately ten individuals.

The role requires at least ten years of professional software engineering experience, including five years specifically in machine learning infrastructure. Candidates must possess deep knowledge of state-of-the-art machine learning models, architectures, and optimization frameworks. Strong leadership experience in navigating cross-functional teams and managing engineers is necessary. A Master’s or PhD in Computer Science, Engineering, or a related field is preferred.