About the role#
The Content AI Infra Team builds scalable systems for training, inference, and application. You will work alongside the Content AI Algorithm Team to apply large models to areas like video and live streaming. The goal is to support recommendation, security, and notifications. You will help improve the stability and performance of our infrastructure while gaining experience through real-world projects.
What you'll do#
- Design training and inference architectures to improve system efficiency, scalability, and stability.
- Build low-latency inference systems to support the processing of massive content.
- Analyze performance and optimize large model training and inference on GPU systems.
- Monitor new technologies to upgrade our technical architecture and expand application scenarios.
- Work with colleagues to solve challenges related to our globalized architecture.
What you'll need#
- Currently pursuing an undergraduate or master degree in Computer Science, Computer Engineering, or a related field.
- Familiarity with high-concurrency content processing system design.
- Proficiency in distributed frameworks like Flink or Spark and message queues like Kafka or Pulsar.
- Strong programming skills in C++, Python, or Java with a clean coding style.
- A strong interest in large model training, inference, and optimization.
- Experience in recommender systems or large models is preferred.
- Participation in programming or mathematical modeling competitions is a plus.
- Ability to work well in a diverse, globally distributed team.
Location & details#
- Location: San Jose, California, United States.
- Modality: On-site.
- Employment: Full-time internship.
- Compensation: $45 per hour.
- Status: Applications are reviewed on a rolling basis.
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.
