Distributed ML Infrastructure Engineer (Ray/Kubernetes)

ByteDance is seeking engineers to design and develop Ray-based distributed computing solutions, supporting Seed large model initiatives. You will optimize Ray, KubeRay, and related ecosystems, and build capabilities to run Ray on Kubernetes with elasticity and observability. Contribute to the Ray open-source community.

Minimum qualifications include a CS degree and proficiency in Python and C++, plus experience with Ray frameworks. Familiarity with Spark or Flink is a plus.