MLOps Intern: Build Production ML Pipelines

TikTok; San Jose (CA); On-site; USD 50,000 - 83,000; Full time

Benefits offered by this job

Health insurance

Wellbeing benefits

Paid holidays

Paid sick time

Housing allowance

Job summary

TikTok is seeking interns for its monetization technology team to help build and operate large-scale, fault-tolerant ads systems. You will work on ML inference, training pipelines, and MLOps platforms, gaining hands-on experience in a fast-growing tech environment.

The internship emphasizes learning, industry exposure, and real-world project work, with social events, workshops, and development programs to support growth.

Qualifications

• Currently pursuing a Bachelor’s degree in Computer Science or a related discipline.
• Experience with Linux OS, networking, and storage.
• Programming in Python, Go, C, C++, or Java.

Responsibilities

• Define and drive SLOs for online ML inference systems to ensure reliability and performance.
• Ensure reliability of offline ML training pipelines and improve training job success rates.
• Drive infrastructure capacity planning for ML workloads and optimize GPU/CPU utilization.
• Lead enablement of new ML frameworks and GPU platforms for production deployment.
• Design, build, and maintain MLOps platforms and automation tools.

Skills

Linux

Networking

Storage

Python

Go

C

C++

Java

Troubleshooting

Communication

Education

Bachelor’s degree in Computer Science or related

Job description

TikTok is seeking interns for its monetization technology team to help build and operate large-scale, fault-tolerant ads systems. You will work on ML inference, training pipelines, and MLOps platforms, gaining hands-on experience in a fast-growing tech environment.

The internship emphasizes learning, industry exposure, and real-world project work, with social events, workshops, and development programs to support growth.