Machine Learning Engineer Intern (Infrastructure Platform) - 2026 Start (PhD)

Our Infrastructure Engineering organization builds and operates hyper-scale datacenters, manages the life cycle of server assets, allocates cloud resources and creates various cloud solutions, and provides infrastructure services including widely distributed Content Distribution Networks (CDNs).
The Infrastructure Platform team builds and leverage various platforms and toolings to manage and interact with our infrastructures and services, including end-to-end capacity delivery, asset management, data center infrastructure management, system engineering, server fleet management, financial operation, governance, risk, and compliance, etc. To support fast growth and improve operation efficiency, these platforms need to be feature rich, easy to use, scalable, agile and compliant with policies and procedures.

We are looking for talented individuals to join us for an internship in 2026. PhD Internships at TikTok aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies.

PhD internships at TikTok provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts.
Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date).

Fall Start Dates:
- August 10th, 2026
- August 24th, 2026
- September 8th, 2026
- September 21st, 2026

Candidates who pass resume screening will be invited to participate in TikTok's technical online assessment.

Responsibilities:
This internship provides students the opportunity to join one of our engineering teams where you will have the opportunity to:
- Apply technical expertise in large-scale data analysis, experimentation, predictive modeling, and performance analytics to support business and infrastructure capacity planning, improve service performance and stability, optimize cost and utilization of data centers, cloud services and networks.
- Assist cross-functional teams in prioritizing infrastructure development, optimizing server performance, and setting measurable objectives, diagnose performance bottlenecks, and drive continuous improvements to enhance TikTok's infrastructure stability and growth.