ML Systems SRE: Global, Scalable AI Infrastructure

ByteDance; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

ByteDance in Singapore is seeking a Site Reliability Engineer for their Machine Learning Systems team. You'll ensure operational efficiency, stability, and disaster recovery of ML systems while collaborating with a global team.

Ideal candidates possess a Bachelor's degree in Computer Science and proficiency in programming languages such as Go, Python, or Shell, alongside hands-on experience with Kubernetes. This role offers the opportunity to enhance your coding and performance analysis skills within a cutting-edge AI research environment.

Qualifications

• Bachelor's degree or above in Computer Science, computer engineering or related fields.
• Strong programming skills in Go, Python, or Shell in a Linux environment.
• Experience with Kubernetes and containers, with over 1 year in operation and maintenance.

Responsibilities

• Ensure ML systems operate efficiently for deployment, training, and inference.
• Manage stability of systems across multiple data centers and clouds.
• Oversee global system disaster recovery and resource planning.

Skills

Proficiency in Go/Python/Shell

Kubernetes expertise

Linux environment experience

Resource management

Education

Bachelor's degree in Computer Science or related fields

Job description

ByteDance in Singapore is seeking a Site Reliability Engineer for their Machine Learning Systems team. You'll ensure operational efficiency, stability, and disaster recovery of ML systems while collaborating with a global team.

Ideal candidates possess a Bachelor's degree in Computer Science and proficiency in programming languages such as Go, Python, or Shell, alongside hands-on experience with Kubernetes. This role offers the opportunity to enhance your coding and performance analysis skills within a cutting-edge AI research environment.