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TikTok

Research Engineer Intern (Ads ML Infra) - 2026 Start (PhD)

San JoseScience and EngineeringPosted Oct 17, 2025

Apply on company site View full job

Responsibilities

About the team
The ads system at TikTok operates on a massive scale and serves millions of advertisers, clients and influencers across the world. The quality of the ads system highly depends on the ability to handle massive data, and machine learning is widely used to improve the quality of our ads. The Ads machine learning data platform team is responsible for building highly efficient and stable infrastructure to collect and process data for the usage of machine learning training, serving, and privacy enforcement, including feature engineering, feature store, training data generation, etc.

We are looking for talented individuals to join us for an internship in 2026. Internships at TikTok aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at TikTok.

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).

Summer Start Dates:
May 11th, 2026
May 18th, 2026
May 26th, 2026
June 8th, 2026
June 22nd, 2026

Responsibilities
• Lead projects committed to building and operating scalable and reliable Ads ranking infrastructure systems.
• Provide technical leadership and guidance to team members and project peers.
• Communicate cross-functionally across various teams, organizations and internal and external stakeholders to drive engineering efforts.
• Lead the innovation efforts, and bring in new ideas and technologies.

Qualifications

Minimum Qualifications
• PhD degree in computer science or related technical disciplines.
• Strong Computer Science fundamentals (algorithms, data structures, software design) and problem-solving skills.
• Solid coding skills and a good understanding of algorithms, especially causal inference, uplift model, and deep learning.
• Experience in managing projects.

Preferred Qualifications
• Experience in Ads domain.
• Experience with building large-scale ranking infrastructure.

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

Responsibilities

Qualifications

Qualifications

Minimum Qualifications
• PhD degree in computer science or related technical disciplines.
• Strong Computer Science fundamentals (algorithms, data structures, software design) and problem-solving skills.
• Solid coding skills and a good understanding of algorithms, especially causal inference, uplift model, and deep learning.
• Experience in managing projects.

Preferred Qualifications
• Experience in Ads domain.
• Experience with building large-scale ranking infrastructure.

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

About TikTok

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

Size: 5,001 - 10,000 employees
Industry: Entertainment & Gaming

View company profile

Perks and Benefits

Health and Wellness
- Health Insurance
- Dental Insurance
- Vision Insurance
- HSA
- Life Insurance
- Fitness Subsidies
- On-Site Gym
- Long-Term Disability
- Short-Term Disability
- Virtual Fitness Classes
- Mental Health Benefits
Parental Benefits
- Adoption Assistance Program
- Family Support Resources
- Fertility Benefits
Work Flexibility
- Flexible Work Hours
- Hybrid Work Opportunities
Vacation and Time Off
- Paid Vacation
- Paid Holidays
- Personal/Sick Days
- Leave of Absence
Financial and Retirement
- 401(k) With Company Matching
- Performance Bonus
- Company Equity
Office Life and Perks
- Casual Dress
- Snacks
- On-Site Cafeteria
- Holiday Events
- Company Outings
- Some Meals Provided
- Happy Hours
- Pet-Friendly Office
Professional Development
- Promote from Within
- Access to Online Courses
- Leadership Training Program
- Associate or Rotational Training Program
- Mentor Program
Diversity And Inclusion
- Diversity, Equity, and Inclusion Program
- Employee Resource Groups (ERG)