Source description
About the role
About The Team
Our team provide foundational infrastructure and solutions for ML/AI scenarios at ByteDance, including data management for machine learning samples and multimodal data through Magnus, as well as distributed orchestration and computing framework capabilities through Primus and Ray.
Responsibilities
- Participate in the design and development of Ray-based distributed computing solutions within the company, supporting the Seed large model business. 2. Contribute to feature development and performance optimization for the Ray, KubeRay, and related upper-layer ecosystem frameworks. 3. Build capabilities for running Ray on Kubernetes, including elasticity, tidal resource clusters, stability, observability, and platform integration. 4. Contribute to the Ray open-source community.
More at ByteDance
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