SRE for Large-Scale AI/ML Systems

TikTok USDS Joint Venture; Seattle (WA); On-site; USD 130,000 - 246,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Parental leave

Wellbeing benefits

Paid holidays

Job summary

TikTok USDS Joint Venture seeks a Site Reliability Engineer for the Applied Machine Learning team to design, build, and operate massively distributed AI/ML systems such as recommender models and large language models in the United States and globally.

You will sharpen skills in coding, performance analysis, and large-scale system operation while influencing hardware/capacity decisions and automating monitoring, alerts, and incident response across global platforms.

Qualifications

• Expertise in analyzing and troubleshooting Linux-based distributed systems.
• Bachelor's/Master's degree in Computer Science, Computer Engineering, or equivalent years of experience in a SRE or software engineering role.
• Experience programming with C, C++, Python, or Go.
• Strong understanding of data structures and algorithms.
• Competent knowledge of relational database systems.

Responsibilities

• Design, build, and maintain highly available, scalable, and fault-tolerant systems.
• Monitor and analyze system performance, identifying and resolving issues before user impact.
• Develop and maintain automated monitoring, alerting, and incident response systems.
• Collaborate with software engineering teams to ensure reliability, scalability, and performance.
• Implement and maintain security best practices and regulatory compliance.
• Participate in on-call rotations and respond to incidents during/after business hours.
• Conduct root cause analysis of incidents and implement preventative measures.

Skills

Linux

C/C++

Python

Go

Relational DB

Algorithms

Education

Bachelor's/Master's in CS/CE or equivalent

Tools

TensorFlow

PyTorch

MXNet

PaddlePaddle

Job description

TikTok USDS Joint Venture seeks a Site Reliability Engineer for the Applied Machine Learning team to design, build, and operate massively distributed AI/ML systems such as recommender models and large language models in the United States and globally.

You will sharpen skills in coding, performance analysis, and large-scale system operation while influencing hardware/capacity decisions and automating monitoring, alerts, and incident response across global platforms.