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Machine Learning Engineer Intern (Ads Measurement Signal and Privacy) - 2026 Summer (BS/MS)

5 days ago San Jose, CA

Responsibilities

Our Ads Measurement Signal and Privacy team (MSP) is missioned to build our security and governance infrastructure and process for the ads system end-to-end while making sure our platform with large volume of various signals and data are constantly compliant with regional regulations across the world. The team will be responsible for exploring and implementing cutting-edge privacy-enhancing technologies to protect our users while keeping TikTok a free and creative community. You will be a key player in data privacy, protection, security and managing cross-functional programs to continuously improve the process.

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. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok.

Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks beginning in 2026 .

Candidates can apply to a maximum of two positions and will be considered for jobs in the order your apply. The application limits is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible. 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

Key Responsibilities:
- Participate in the development of a large-scale Ads system.
- Responsible for the development of state-of-the-art applied machine learning projects.
- Own key targeting components or strategies in the TikTok ads monetization ecosystem.
- Work with product and business teams on product vision.

Qualifications

Minimum Qualifications:
- Currently pursuing an Undergraduate/Master in Computer Science, Computer Engineering or a related technical discipline.
- Experience in and good theoretical grounding in machine learning concepts and techniques.
- Excellent programming, debugging, and optimization skills in one or more general purpose programming languages, including but not limited to: Go, C/C++, Python.
- Experience in one or more of the following frameworks: Tensorflow/PyTorch/MXNet, etc
- Ability to think critically and to formulate solutions to problems in a clear and concise way.

Preferred Qualifications:
- Ads system, recommendation, searching, ranking, etc. experience

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

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Client-provided location(s): San Jose, CA
Job ID: TikTok-7595307123552028981
Employment Type: INTERN
Posted: 2026-01-15T20:10:23

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • HSA
    • Life Insurance
    • Fitness Subsidies
    • Short-Term Disability
    • Long-Term Disability
    • On-Site Gym
    • Mental Health Benefits
    • Virtual Fitness Classes
  • Parental Benefits

    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Casual Dress
    • Snacks
    • Pet-friendly Office
    • Happy Hours
    • Some Meals Provided
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • 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
  • 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)

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