About the role#
The recommendation algorithm team drives product decisions and platform growth. This group consists of machine learning researchers and engineers who support and improve production models. You will work on real-world challenges and gain industry exposure while building your professional foundation.
What you'll do#
- Develop recommendation systems to improve user experience and platform safety.
- Deliver end-to-end machine learning solutions for content understanding, large language models, and system robustness.
- Own and optimize the full-stack machine learning pipeline, covering everything from algorithm design to infrastructure.
- Work with cross-functional teams to create product strategies and intelligent solutions.
What you'll need#
- Currently pursuing a Master degree in computer science, machine learning, or a related field.
- Knowledge of theoretical and empirical research methods.
- Experience with a deep learning framework like PyTorch or TensorFlow and familiarity with deep neural network architectures.
- Ability to work for 12 weeks during Summer 2027.
- Proficiency in C, C++, Python, and shell programming.
- Strong understanding of data structures and algorithms.
- Research experience in applied machine learning, machine learning infrastructure, large-scale recommendation systems, or market-facing products.
- A record of first-author publications in top AI conferences or journals.
- Previous internship experience in an AI research organization.
Location & details#
- Location: San Jose, California
- Term: Summer 2027
- Compensation: $45 per hour
- Employment: Full-time, on-site internship
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.
