Skip to main content
Back to jobs

Software Engineer Intern (Recommendation Infrastructure) - 2026 Summer (BS/MS)

External
TikTok logoTiktok · San Jose, CA
ContractOn-site3w ago
JavaMachine LearningPython
Cover LetterConnect

Prepare for this interview

Elite

AI-generated questions, company research, and talking points tailored to this role


Responsibilities

  • Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for our recommendation products to provide the most reliable and best experience for our TikTok users. Interns are important parts to our team with your fresh ideas and creative thoughts.
  • We are looking for talented individuals to join us for an internship in 2026. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok.
  • Summer Start Dates:
  • May 11th, 2026
  • May 18th, 2026
  • May 26th, 2026
  • June 8th, 2026
  • June 22nd, 2026
  • Build and maintain high performance online services for TikTok recommendation system to support various types of products, such as For You Feed, E-commerce, Social, etc.
  • Build extremely efficient and reliable data pipelines for candidates generation, profile generation, training examples generation, realtime online training, etc;
  • Build globalized large-scale recommendation system;
  • Design and develop high performance computing frameworks and storage systems.

Requirements

  • Currently pursuing an Undergraduate/Master in Computer Science or a related technical discipline
  • Able to commit to working for 12 weeks during Summer 2026
  • Experience in programming, included but not limited to, the following programming languages: C, C++, Java or Python.
  • Effective communication skills, self-driven learner, a sense of ownership
  • Projects or research experienced in at least one area of the following areas: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks is a plus.
  • By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at TikTok? Share your experience

Interested in this role?

Apply on the company's website.

Cover LetterConnect