Machine Learning System Scheduling Engineer Graduate (Applied Machine Learning) - 2027 Start

ByteDance develops technology products and platforms that inspire creativity and enrich life. The Machine Learning System Scheduling Engineer Graduate will design and develop resource scheduling systems for machine learning workloads, optimize heterogeneous compute, storage, and networking resources across data centers and clusters, and improve resource utilization for training and inference workloads under multi-tenant isolation.

Responsibilities:

• Design and develop resource scheduling systems for machine learning workloads, supporting Volcano Ark and machine learning platform products
• Optimize orchestration and scheduling of heterogeneous compute resources, including GPUs, CPUs, and other accelerators, as well as storage resources such as cloud storage and networking resources such as VPC and RDMA, across multiple data centers and clusters
• Support scheduling requirements for offline training, online inference, and other workloads under strict multi-tenant isolation, improving overall resource utilization and efficiency