Machine Learning Engineer Intern (Risk & Integrity) - 2027 Summer
Machine Learning Systems
Likely openWe list a role only while we believe it is still open. Confirm on the posting before you apply.
What stands out
- Pay is stated up front — $45 / hour. Most postings never say.
- Nobody had applied when this was listed — you would be near the front of the queue.
- Posted in the last 24 hours.
The gist
This internship involves developing machine learning models to enhance TikTok's integrity systems. You'll work with large-scale data and collaborate with engineers and data scientists to build tools that detect fraud and malicious behavior. Ideal for students with a strong foundation in ML and experience with Transformer and GNN architectures.
What you would actually do
- Build and refine ML models to detect fraud and malicious behavior using graph and sequence data
- Collaborate with cross-functional teams to design and deploy integrity systems at scale
- Work with Python, PyTorch, and distributed computing tools like Spark or Flink
Skills mentioned
How to apply
Internships in the US often collect hundreds of applicants within a day, so applying early matters more than applying perfectly. A half-finished application sent on the first morning beats a polished one sent on the third.
This summary was written by InternDoor from the public posting, and is not the employer's own wording. The linked posting is the source of truth — check it before you apply.