ML Engineer Intern, Risk & Integrity — AI/LLM Systems

TikTok USDS Joint Venture; San Jose (CA); On-site; USD 51,000 - 73,000; Full time

Benefits offered by this job

Health insurance

Housing allowance

Wellbeing benefits

Life insurance

Job summary

TikTok USDS Joint Venture LLC is offering a 12-week internship on the PaCI platform, focusing on end-to-end integrity for TikTok and affiliated platforms. You will work with large-scale data, collaborate with engineering, data science, and ML teams, and write clear code and documentation throughout the project lifecycle.

The program emphasizes practical ML, Transformer/GNN applications, and real-world challenges in risk and integrity, providing mentorship, workshops, and social learning events.

Qualifications

• Currently pursuing a Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related technical field.
• Able to commit to a 12-week internship during Summer 2027.
• Solid ML foundation; experience with Transformer and GNN architectures on large-scale data.
• Strong coding skills in Python, C++, or Go; familiarity with Spark, Flink, and PyTorch.

Responsibilities

• Work with large-scale data, logs, metrics, or experiments to understand user search behavior and improve product or system quality.
• Collaborate with engineering, product, data science, and machine learning partners to define requirements and deliver project milestones.
• Write clear, maintainable code and documentation for assigned workstreams.
• Communicate progress, risks, and learnings with mentors and stakeholders throughout the internship.

Skills

Machine Learning

Python

C++

Go

Spark

Flink

PyTorch

Transformer models

GNN

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science

Tools

Spark

Flink

PyTorch

Job description

TikTok USDS Joint Venture LLC is offering a 12-week internship on the PaCI platform, focusing on end-to-end integrity for TikTok and affiliated platforms. You will work with large-scale data, collaborate with engineering, data science, and ML teams, and write clear code and documentation throughout the project lifecycle.

The program emphasizes practical ML, Transformer/GNN applications, and real-world challenges in risk and integrity, providing mentorship, workshops, and social learning events.