Site Reliability Engineer - Machine Learning Systems Technology - Backend

Site Reliability Engineer - Machine Learning Systems (Singapore)

Job Code: A136313A

• Ensure our ML systems operate efficiently for large model deployment, training, evaluation, and inference.
• Maintain stability of offline tasks/services across multi‑data center, multi‑region, and multi‑cloud scenarios.
• Manage resource planning, cost, and budget, including computing and storage resources.
• Implement global system disaster recovery, cluster machine governance, and enhance business service stability, resource utilization, and operational efficiency.
• Build software tools, products, and systems to monitor and manage ML infrastructure and services efficiently.
• Participate in the global team roster that ensures system and business on‑call support.

• Bachelor’s degree or above in Computer Science, Computer Engineering, or related fields.
• Strong proficiency in at least one programming language such as Go, Python, or Shell in a Linux environment.
• More than 1 year of hands‑on experience with Kubernetes and containers in operational and maintenance contexts.

• Experience in operating and maintaining large‑scale ML distributed systems.
• Experience with GPU server operation and maintenance.
• Excellent logical analysis ability, with a strong sense of responsibility, good learning and communication skills, self‑driven and team‑spirit oriented.
• Good documentation principles and habits; ability to write and update workflow and technical documentation on time.

Founded in 2012, Byte Dance’s mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including Tik Tok, Lemon8, Cap Cut, and Pico, Byte Dance has made it easier and more fun for people to connect with, consume, and create content.

Byte Dance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. We celebrate diverse voices and foster an environment that reflects the many communities we reach.