ML Infrastructure Engineer - Multimodal Training Tools, SIML

About the role

In this role you will have a deep expertise in ML tooling, with a passion to empower engineers across the ML stack. Responsibilities include: - Contributing towards tools for large generative model training including diffusion & autoregressive workflows - Tools for efficient inference and hosting of models for experimentation and human feedback - Tooling for model representation and efficient deployment on multiple HW targets incl. Apple Silicon - Benchmarking, Analysing and Improving training and inference performance - Integrating efficient data loading strategies and auto-eval workflows - CI/CD of base training workstreams

Requirements