Job description

Global E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products on TikTok Shop, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. Our E-commerce Recommendation Infra team is responsible for building up and optimizing the infrastructure for such recommendation systems, to provide the best experience for our users. We work closely with applied machine learning engineers and build scalable systems to support all kinds of innovative algorithms and large scale models. We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth. Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals. Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted. Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates. Online Assessment Candidates who pass resume screening will be invited to participate in Our Company's technical online assessment. Responsibilities: This internship provides students the opportunity to join one of our engineering teams where you will have the opportunity to: - Build and maintain high performance online services for TikTok recommendation system. - Build extremely efficient and reliable data pipelines for candidates generation, profile generation, training examples generation, realtime online training, etc. - Work with your mentor to build globalized large-scale recommendation system. - Design and develop high performance computing frameworks and storage systems. Minimum Qualifications: - Must be able to commit to a 12-week full-time work period during Summer 2027 - Currently pursuing an Undergraduate/Masters degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline. - Experience in programming, included but not limited to, the following programming languages: C, C++, Java or Golang. - Effective communication skills and a sense of ownership and drive. Preferred Qualifications: - Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications. - Demonstrated experience in 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: careers.tiktok.com

Requirements

Must-haves

Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.
Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted.
Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.
Online Assessment
Candidates who pass resume screening will be invited to participate in Our Company's technical online assessment.
This internship provides students the opportunity to join one of our engineering teams where you will have the opportunity to:
Build and maintain high performance online services for TikTok recommendation system.
Build extremely efficient and reliable data pipelines for candidates generation, profile generation, training examples generation, realtime online training, etc.
Work with your mentor to build 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 Summer 2027
Currently pursuing an Undergraduate/Masters degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
Experience in programming, included but not limited to, the following programming languages: C, C++, Java or Golang.
Effective communication skills and a sense of ownership and drive.

Nice-to-haves

Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications.
Demonstrated experience in 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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningjavagolang

Platform: tiktok
Effort: medium