AI Infrastructure Intern: Scalable ML Orchestration

Grapevine Round1 AI in Singapore is seeking an AI Infrastructure Intern to design high-performance orchestration systems for large-scale model training and inference.

The role involves developing scheduling algorithms for GPU/CPU clusters, improving framework efficiency, and building synchronization pipelines. Candidates must have experience with ML frameworks like Ray or Kubeflow and proficiency in Go, Python, C++, or Java.

Strong knowledge of distributed systems and familiarity with Linux environments are required.