Software Engineer Intern; Recommendation Infrastructure - Fall; BS​/MS San Jose Undergrad

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

Location:

San Jose

Employment Type:

Internship

• Build and maintain high‑performance online services for the Tik Tok recommendation system.
• Build efficient and reliable data pipelines for candidate generation, profile generation, training‑example generation, real‑time online training, etc.
• Work with a mentor to build a globalized large‑scale recommendation system.
• Design and develop high‑performance computing frameworks and storage systems.

• Must be able to commit to a 12‑week full‑time work period during Fall 2026.
• Currently pursuing an undergraduate or master’s degree in software development, computer science, computer engineering, or a related technical discipline.
• Experience in programming, including but not limited to C, C++, Java, or Golang.
• Effective communication skills and a sense of ownership and drive.

• Demonstrated software‑engineering experience from a previous internship, work experience, coding competitions, or publications.
• Demonstrated experience in one of the following areas: personalized recommendations, search engine, machine learning, distributed storage system, or big‑data frameworks.

The hourly rate range for this position in San Jose is $45–$60.

Interns have day‑one access to health insurance, life insurance, wellbeing benefits, and more. Interns receive 10 paid holidays per year and paid sick time (56 hours if hired in the first half of the year, 40 hours if hired in the second half). Interns who are not working 100 % remote may also be eligible for a housing allowance.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. This position requires interacting with internal and external clients, handling confidential information, and exercising sound judgment.