1 of 1 Parallel Computing Jobs in London

Machine Learning Engineer, Amazon General Intelligence (AGI) Job ID: Services LLC - A57 Our Machine Learning training infrastructure (ML Infra) team is responsible for designing, implementing, and optimizing large-scale computing infrastructure that powers our cutting-edge AI and machine learning initiatives. We leverage advanced hardware, innovative software architectures, and distributed computing techniques to enable breakthrough research and product … top talent and recruit them to the company. Actively mentor senior and Principal engineers, scale yourself by developing and institutionalizing best practices in AI/ML infrastructure and distributed computing across the organization. A day in the life: 8+ years of professional software development experience in distributed systems with emphasis on ML infrastructure; 8+ years of current programming experience … building ML infrastructure using languages such as Python, C++ or Rust; hands-on experience with parallel computing platforms such as CUDA, OpenMP, etc.; deep understanding of AI frameworks such as PyTorch, TensorFlow, and JAX, and their demands on underlying compute infrastructure, memory bandwidth, network interconnect, and storage as scale goes up; knowledge of emerging AI hardware accelerators and More ❯