About the role#
This team builds the core training and serving infrastructure for TikTok's recommendation systems and foundation models. You will work on distributed systems, high-performance GPU computing, and scalable infrastructure for LLMs. You will collaborate with engineers and researchers to move AI technologies into production systems that impact millions of users.
What you'll do#
- Build and optimize infrastructure for large-scale model training and online inference.
- Develop distributed systems that support large recommendation models and LLMs.
- Improve performance through GPU optimization and efficient communication.
- Collaborate with researchers to deploy LLM training and serving solutions.
- Analyze system bottlenecks and implement performance improvements.
What you'll need#
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, Artificial Intelligence, Software Development, or a related field.
- Strong programming skills in C++ or Python.
- Understanding of data structures, algorithms, and computer systems.
- Familiarity with PyTorch or TensorFlow.
- Knowledge of Transformer architectures and LLMs.
- Experience with LLM training or inference through research, internships, or open-source projects.
- Familiarity with distributed training concepts like DP, TP, PP, FSDP, or ZeRO.
- Experience with GPU programming using CUDA or Triton.
- Understanding of LLM serving techniques such as KV Cache, Continuous Batching, or FlashAttention.
Location & details#
- Location: San Jose, California.
- Term: Summer 2027.
- Status: Full-time, on-site internship.
- Compensation: $45 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.
