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Responsibilities

TikTok LIVE Revenue:
TikTok Live revenue engineering team is responsible for building the cutting-edge revenue ecosystem which includes gifting and other revenue features that are innovative, secure and intuitive for our users. As an important member of the engineering team, you will build solutions that affect millions of users and live streamers.

We are looking for talented individuals to join us for an internship. PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, as well as to the organization's future plans and emerging technologies.
Our dynamic internship experience blends hands-on learning, enriching community-building and professional development events, and collaboration with industry experts.
Applications will be reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume (Start date, End date).

As a Intern, you will work on algorithmic solutions that support large-scale LIVE activities for users around the world. You will apply your research background and machine learning expertise to solve real-world business challenges, optimize activity performance, and drive sustainable business growth.

Responsibilities
- Build and optimize machine learning systems that provide algorithmic support for global large-scale LIVE activities.
- Analyze activity data, develop strategy models, and use data-driven approaches to improve user engagement and business growth.
- Design, train, and deploy scalable models and algorithms to support activity recommendation, ranking, targeting, and performance optimization.
- Understand business objectives and work closely with product and operations teams to define long-term algorithm strategies and roadmap.
- Collaborate with cross-functional teams to continuously improve model performance, experimentation efficiency, and business impact.

Qualifications

Minimum Qualifications
- Currently pursuing your PhD or Master degree in math, physics, statistics, AI, software engineer, computer science or related engineering field.
- Solid knowledge in at least one of the following areas: machine learning, deep learning, LLM, agent, causal inference.
- Familiar with the at least one of the data-centric domains: recommendation, generation, ab testing.
- Great communication skill and ownership.

Preferred Qualifications
- Proven passion about solving real problems.
- Basic knowledge about algorithm development, deployment and serving.
- Previous experience in tech companies as the related role.
- Trackable academic achievement in recent 3 years.

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

If you have any questions, please reach out to us at apac-earlycareers@tiktok.com.

Responsibilities

Qualifications

Qualifications

Minimum Qualifications
- Currently pursuing your PhD or Master degree in math, physics, statistics, AI, software engineer, computer science or related engineering field.
- Solid knowledge in at least one of the following areas: machine learning, deep learning, LLM, agent, causal inference.
- Familiar with the at least one of the data-centric domains: recommendation, generation, ab testing.
- Great communication skill and ownership.

Preferred Qualifications
- Proven passion about solving real problems.
- Basic knowledge about algorithm development, deployment and serving.
- Previous experience in tech companies as the related role.
- Trackable academic achievement in recent 3 years.

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

If you have any questions, please reach out to us at apac-earlycareers@tiktok.com.

About TikTok

TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

Size: 10,000+ employees
Industry: Technology: Consumer Internet

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