Machine Learning Ops Engineer Intern (Ads Infra) - 2027 Start

TikTok; Singapore; On-site; SGD 17,000 - 22,000; Part time

Job summary

TikTok is offering an internship with a focus on SRE for machine learning infrastructure. You will work on the reliability of online inference services and offline training pipelines, while helping optimize resources and deploy new ML frameworks.

Ideal candidates are pursuing CS/SE degrees, comfortable with Linux, and experienced in Python/Go/C/C++/Java. This internship provides hands-on learning, industry exposure, and opportunities for professional growth in a fast-paced tech environment.

Qualifications

• Pursuing Undergraduate/ Master’s in Computer Science or Software Engineering.
• Experience with Linux, networking, and storage.
• Proficient in Python, Go, C, C++, or Java.
• Experience troubleshooting production systems.
• Strong communication and ownership skills.

Responsibilities

• Define and drive SLOs for online ML inference systems ensuring 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 large-scale deployment.
• Design, build, and maintain MLOps platforms and automation tools.

Skills

Linux

Networking

Python

Go

C++

Java

Troubleshooting

Communication

Education

Undergraduate/ Master’s in Computer Science or Software Engineering

Tools

Git

Docker

Job description

Discover a career that energizes and excites you every day.

@2026 TikTok

Technology

Location:

Employment Type:

Intern

Job Code:

A111272A

Team IntroductionMLOps - Global SRE team is responsible for the reliability of the machine learning infrastructure powering ByteDance’s global advertising systems. We ensure the stability, scalability, and operational efficiency of the entire machine learning lifecycle, including data pipelines, model development, training, deployment, inference, monitoring, and continuous optimization.We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth.Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted.Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.

Responsibilities

• Define and drive Service Level Objectives (SLOs) for online machine learning inference systems, ensuring the reliability, availability, and performance of large-scale production inference services;
• Ensure the reliability and operational excellence of offline machine learning training pipelines, continuously improving training job success rates;
• Drive infrastructure capacity planning and resource management for machine learning workloads, ensuring compute resources meet evolving business demands while continuously improving GPU and CPU utilization through performance optimization;
• Lead the enablement of new machine learning frameworks and GPU platforms, driving large-scale production deployment while maintaining model quality and business performance;
• Design, build, and maintain MLOps platforms and automation tools, including quota management, job diagnostics, monitoring and observability, resource management, and operational tooling.

Qualifications

Minimum Qualifications

• Currently pursuing a Undergraduate/ Master's in Computer Science or Software Engineering or a related discipline.
• Expertise in Linux operating systems, networking, storage.
• Experience programming in at least one of the following programming languages: Python, Go, C, C++, or Java.
• Experience in troubleshooting application issues, or production operations.
• Effective communication skills and a sense of ownership and drive.

Preferred Qualifications

• Experience in SRE internship of machine learning systems.
• Experience in SRE internship of ads/recommendation/search systems.

Job Information

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.