Machine Learning MLOps Intern (Global SRE) - 2027 Summer

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

Responsibilities

The monetization technology team works on building and running large-scale, globally distributed, fault-tolerant ads systems. SREs keep the systems up and running with the highest level of availability, ensuring our users have the best experience possible.

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.

• 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 Bachelor’s degree in Computer Science 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 for large-scale advertising, recommendation, search systems, or large-scale cloud platforms.

Job Information

【For Pay Transparency】Compensation Description (Hourly) - Campus Intern

The hourly rate range for this position in the selected city is $45- $60.

• Benefits may vary depending on the nature of employment and the country work location.
• Interns have day one access to health insurance, life insurance, wellbeing benefits and more.
• Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).
• Interns who are not working 100% remote may also be eligible for housing allowance.
• The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy

For Los Angeles County (unincorporated) Candidates

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

• Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
• Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
• Exercising sound judgment.

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.

TikTok Accommodation

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request