Algorithm Engineer Intern (Global Live Operation Intelligence) - 2026 Start (PHD)

and effectiveness of TT Live supply end, as well as discover and handle inappropriate user behavior and business anomaly, to assure the steady and persistent running of TT Live business. Spearheading analytical excellence with a penchant for creative problem-solving, our team functions at the intersection of data science and live content, ensuring an engaging and personalized experience for our global community of creators and viewers.

We are looking for talented individuals to join us for an internship in 2026. PhD Internships at TikTok aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies.

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

Responsibilities

1. Participate in the optimization of ByteDance LIVE business and serve the LIVE experience of billions of global users.
2. Adopt cutting-edge machine learning models to improve business metrics (LIVE revenue and LIVE content quality), and bring creators/operators the ultimate experience in LIVE business.
3. Deeply participate in product/business discussions, analyze and understand user behavior patterns, and provide optimization directions for improvement.

Qualifications

Minimum Qualifications

• Currently pursuing a PhD in Computer Science, engineering quantitative field
• Familiar with commonly used machine learning and deep learning algorithms, including but not limited to DNN, NLP, CV, etc.
• Familiar with at least one of Flink, Spark, Hive etc., with big data parallel processing experience
• Excellent problem-solving and critical thinking skills, and solid maths foundation, including probability statistics, numerical optimization, etc.

Preferred Qualifications

• Experience in large-scale recommend/advertising systems, risk control systems or LLM is preferred

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 [email protected].