Machine Learning MLOps Intern (Global SRE) - 2027 Summer
TikTok · San Jose, CA · 3 wk ago
Engineering$45–$60/hrInternship
Our monetization technology team builds and operates large-scale, globally distributed, fault-tolerant ads systems. As an SRE intern, you’ll help maintain the highest level of availability so users have the best experience possible. This internship offers hands-on experience, industry exposure, and the chance to tackle real-world challenges while building a foundation for personal and professional growth. Interns participate in social events, learning programs, and development workshops alongside industry professionals.
Responsibilities
- Define and drive Service Level Objectives (SLOs) for online machine learning inference systems, ensuring 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, optimizing GPU and CPU utilization through performance improvements.
- 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, observability, resource management, and operational tooling.
Requirements
- Currently pursuing a Bachelor’s degree in Computer Science or a related discipline.
- Expertise in Linux operating systems, networking, and storage.
- Experience programming in at least one of the following: Python, Go, C, C++, or Java.
- Experience troubleshooting application issues or production operations.
- Effective communication skills and a sense of ownership.
Preferred Qualifications
- Experience in an SRE internship for large-scale advertising, recommendation, search systems, or cloud platforms.
Benefits
- Day-one access to health insurance, life insurance, and wellbeing benefits.
- 10 paid holidays per year plus paid sick time (56 hours if hired in the first half of the year, 40 if hired in the second half).
- Eligibility for housing allowance if not working 100% remote.
Pay
The hourly rate range for this internship is $45–$60.