MLSys Backend Engineer Graduate (AML Ark) - 2027 Start

We are looking for talented individuals to join our team in 2027. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at ByteDance.

Successful candidates must be able to commit to an onboarding date by end of year 2027. Please state your availability and graduation date clearly in your resume.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

-Design and develop resource scheduling systems for machine learning platforms, supporting model training, evaluation, and inference workloads across domains such as NLP, Computer Vision (CV), and Speech. -Optimize the orchestration and scheduling of heterogeneous computing resources, including GPUs, CPUs, and other specialized accelerators, to maximize the utilization of dedicated, opportunistic (spot), co-located, and multi-cloud resources. -Develop scheduling solutions that optimize the allocation of compute resources, RDMA high-speed networking, and storage resources, enabling large-scale distributed clusters to achieve maximum performance and efficiency. -Design and implement workload scheduling across multiple data centers, regions, and cloud environments, ensuring balanced resource utilization and efficient placement of both online services and offline batch jobs.