Site Reliability Engineer, Machine Learning Systems

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 scenarios
• Manage computing and storage resources, including resource planning, cost, and budget management
• Oversee global system disaster recovery, cluster machine governance, and resource utilization improvement
• Build software tools and systems to monitor and manage ML infrastructure and services efficiently
• Participate in a global on-call roster to provide system and business support

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 within a Linux environment
• Hands-on experience with Kubernetes and containers
• At least 1 year of relevant operation and maintenance experience

Preferred Qualifications

• Experience in the operation and maintenance of large-scale ML distributed systems
• Experience in the operation and maintenance of GPU servers
• Strong logical analysis skills and the ability to abstract and split business logic
• Excellent communication skills, self-driven attitude, and strong team spirit
• Good documentation habits for maintaining technical workflows and documentation

About the Company

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico, ByteDance makes it easier and more fun for people to connect with, consume, and create content.