Intern, Platform and Community Integrity

TikTok USDS Joint VentureSan Jose, California, United States

Location
San Jose, California, United States
Posted
Status
Open

About this role

Contribute to the architectural backbone of TikTok's integrity systems, leveraging AI/LLM capabilities for large-scale challenges.

🎯 About the Role

This internship offers hands-on experience in driving end-to-end integrity for TikTok and its ecosystem, using localized U.S. data and advanced AI/LLM technologies. You will gain practical experience, explore career paths, and participate in professional development activities.

πŸ› οΈ Key Responsibilities

  • πŸ“Š Work with large-scale data to understand user behavior and improve product quality.
  • 🀝 Collaborate with engineering, product, and data science partners to deliver project milestones.
  • ✍️ Write clear, maintainable code and documentation for assigned workstreams.
  • πŸ—£οΈ Communicate progress, risks, and learnings with mentors and stakeholders.

βœ… Requirements & Skills

  • πŸŽ“ Currently pursuing a Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related technical field.
  • πŸ—“οΈ Able to commit to a 12-week internship during Summer 2027.
  • 🧠 Solid foundation in Machine Learning; proficient in applying Transformer and GNN architectures.
  • πŸ’» Strong engineering and coding skills; proficient in Python, C++, or Go; familiar with distributed computing and deep learning frameworks.
  • πŸ€– Experience with LLM-based Agents and LLM Security & Alignment is preferred.

🎁 Perks & Benefits

  • πŸ₯ Day one access to health insurance, life insurance, and wellbeing benefits.
  • πŸ“… 10 paid holidays per year and paid sick time.
  • 🏠 Potential eligibility for housing allowance for non-remote interns.

πŸ’° Compensation: $45 - $45/hr

⏳ Duration: 12 weeks

πŸ“ Location: United States

πŸ“© How to Apply

Applications are reviewed on a rolling basis. Please clearly state your availability (Start date, End date) in your resume.

How to apply

Applications are handled on linkedin.com, not here. The link below opens the original posting.

Apply on the original posting

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