Responsibilities
- Ensure ML systems operate efficiently for large-model deployment, training, evaluation, and inference.
- Maintain the stability of offline tasks and services across multi-data-center, multi-region, and multi-cloud environments.
- Manage and plan computing and storage resources, including cost and budget considerations.
- Own disaster recovery, cluster machine governance, business-service stability, resource utilization, and operational efficiency improvements.
- Build software tools, products, and systems to monitor and manage ML infrastructure and services.
- Participate in the global system and business on-call support roster.
Requirements
- Bachelor's degree or above in computer science, computer engineering, or a related field.
- Strong proficiency in at least one programming language such as Go, Python, or Shell in a Linux environment.
- Hands-on Kubernetes and container experience, with more than one year of relevant operations and maintenance experience.
- Preferred experience operating and maintaining large-scale ML distributed systems.
- Preferred experience operating and maintaining GPU servers.
- Strong logical analysis, communication, learning, documentation, self-direction, responsibility, and teamwork abilities.
Tech Stack
Categories
About ByteDance
ByteDance is a global incubator of platforms at the cutting edge of commerce, content, entertainment and enterprise services - over 2.5bn people interact with ByteDance products including TikTok. Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. We are committed to building a safe, healthy and positive online environment for all our users. We have over 110,000 employees based in more than 30 countries globally. Join us.