About the role#
The Ads Infra team builds the infrastructure that powers advertising at TikTok. You will work on systems that handle massive data to support machine learning training, inference, and feature engineering. This internship provides hands-on experience with large-scale systems and real-world challenges in the advertising space.
What you'll do#
- Develop and optimize advertising recommendation models including training, evaluation, and user behavior sequence modeling.
- Build large-scale data pipelines for sample generation, feature processing, and data quality assurance.
- Create ML platforms for distributed training, model distribution, and lifecycle management.
- Explore MLLM applications in advertising, such as data production, fine-tuning, and inference optimization.
- Apply AI agents to tasks like workflow orchestration, resource scheduling, and automated operations.
- Build platforms for GPU allocation, usage metering, and cost accounting.
What you'll need#
- Currently pursuing a Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field.
- Proficiency in at least one programming language like C++, Python, Go, or Java.
- Solid knowledge of data structures, algorithms, machine learning, and computer systems.
- Familiarity with recommendation systems, MLLMs, distributed systems, or large-scale data processing.
- Experience with deep learning frameworks, GPU scheduling, AI agents, or cloud-native technologies is a plus.
Location & details#
- Location: San Jose, California
- Term: Summer 2027
- Modality: On-site
- Compensation: $45 - $60 per hour
About TikTok
TikTok operates as an entertainment provider. The company maintains a global presence with offices in cities including Los Angeles, Singapore, New York, London, and Tokyo. It employs over 92,000 people. The organization is privately held.
How to get in at TikTok
Landing an internship at TikTok requires speed because early applicants often get seen before the pile grows. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you can apply among the first. This gives you a better chance of your resume being reviewed while the team is still actively filling the position. You should aim to be one of the first people to submit your materials. Reaching out to the right person can also improve your chances of getting a response. Intern Insider surfaces the recruiters behind the company roles so you can contact them directly to ask about the role or a referral. This direct approach often works better than waiting for a response from a general application queue.
