Software Engineer Intern (Ads Interface) - 2027 Summer

Responsibilities

We are TikTok Monetization Ads Interface Team, dedicated to creating an exceptional advertising experience and intelligent growth marketing strategies for global advertising clients. Here, you will engage with challenging technical domains such as large-scale user systems, diverse advertising fields (ad creation, material optimization, delivery strategy, attribution, measurement, etc.), AI-driven personalized recommendations and growth strategies, and massive client profiling powered by LLM and big data. We are seeking like-minded individuals to join us in leveraging technology to help global small and medium-sized business (SMB) advertisers effectively connect with customers, achieve business success, and drive the rapid growth of TikTok's advertising business!

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.

Key Responsibilities:
- Design, develop, test, and continuously improve TikTok's Ads experience.
- Manage the work of a focused team of software engineers, providing guidance, regular feedback, education, and mentoring.
- Collaborate with Product Managers, Designers, and other disciplines to explore the next generation of ads experiences on TikTok.
- Take responsibility for the team project priorities, deadlines, and deliverables.
- Define a long-term technical roadmap and contribute to technical decisions on your team.
- Collaborate with PM and R&D teams globally, in a fast-paced environment.

Qualifications

Minimum Qualifications:
- Currently pursuing a BS/MS degree in Computer Science, Computer Engineering or a related discipline.
- Strong Computer Science fundamentals (algorithms, data structures, software design) and problem-solving skills.
- Ability to think critically and to formulate solutions in a clear and concise way.
- Very strong teamwork skills (e.g. communication, ownership, empathy, honesty).
- Must be able to commit to a 12-week full-time work period during Summer 2027.

Preferred Qualifications:
- Experience in resource management and task scheduling with large-scale distributed software.
- Experience with Advertisement Technology is a plus, but not required.
- Skilled at leveraging AI tools to implement ideas, with basic understanding of the underlying principles of relevant AI tools.

Responsibilities

Responsibilities

We are TikTok Monetization Ads Interface Team, dedicated to creating an exceptional advertising experience and intelligent growth marketing strategies for global advertising clients. Here, you will engage with challenging technical domains such as large-scale user systems, diverse advertising fields (ad creation, material optimization, delivery strategy, attribution, measurement, etc.), AI-driven personalized recommendations and growth strategies, and massive client profiling powered by LLM and big data. We are seeking like-minded individuals to join us in leveraging technology to help global small and medium-sized business (SMB) advertisers effectively connect with customers, achieve business success, and drive the rapid growth of TikTok's advertising business!

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.

Key Responsibilities:
- Design, develop, test, and continuously improve TikTok's Ads experience.
- Manage the work of a focused team of software engineers, providing guidance, regular feedback, education, and mentoring.
- Collaborate with Product Managers, Designers, and other disciplines to explore the next generation of ads experiences on TikTok.
- Take responsibility for the team project priorities, deadlines, and deliverables.
- Define a long-term technical roadmap and contribute to technical decisions on your team.
- Collaborate with PM and R&D teams globally, in a fast-paced environment.

Qualifications

Qualifications

Minimum Qualifications:
- Currently pursuing a BS/MS degree in Computer Science, Computer Engineering or a related discipline.
- Strong Computer Science fundamentals (algorithms, data structures, software design) and problem-solving skills.
- Ability to think critically and to formulate solutions in a clear and concise way.
- Very strong teamwork skills (e.g. communication, ownership, empathy, honesty).
- Must be able to commit to a 12-week full-time work period during Summer 2027.

Preferred Qualifications:
- Experience in resource management and task scheduling with large-scale distributed software.
- Experience with Advertisement Technology is a plus, but not required.
- Skilled at leveraging AI tools to implement ideas, with basic understanding of the underlying principles of relevant AI tools.