Machine Learning Engineer Intern (Global E-commerce Risk Control) - 2026 Start (PhD)
Machine Learning Risk Analysis
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 — $57 / hour. Most postings never say.
- Posted in the last 24 hours.
The gist
This PhD internship involves developing machine learning models to detect fraud and abuse in e-commerce platforms. The role is ideal for students with a strong background in machine learning and data analysis, offering hands-on experience with real-world risk control challenges.
What you would actually do
- Build machine learning models to detect and prevent fraud and abuse in e-commerce platforms
- Work with Python, SQL, and big data tools to analyze and process risk data
- Collaborate with cross-functional teams to improve risk detection and operational processes
Skills mentioned
About this listing
- Found on
- First seen by InternDoor
- , within 2 hours of being posted
- Last seen listed
- Application page
- joinbytedance.com
InternDoor has recorded 70 engineering postings from ByteDance in the US since Aug 2026. LinkedIn listings stay on InternDoor for at most 30 days after we first see them, so this one comes down by , or sooner if we find its application has closed. When it comes down, this address points to ByteDance’s page instead of a dead end.
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.