Research Intern (AML-Algorithm) - 2026 Start (PhD)
Machine Learning Research
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 — $60 / hour. Most postings never say.
- Fully remote, so where you live is not a constraint.
- Posted in the last 24 hours.
The gist
This PhD internship focuses on advancing machine learning research for recommendation systems. You'll explore large-scale models, multi-modal data, and reinforcement learning techniques to improve user engagement. Ideal for PhD candidates with a strong background in ML and a passion for real-world applications.
What you would actually do
- Research machine learning for recommendation systems, including large-scale models and reinforcement learning
- Work with multi-modal data and collaborate with researchers to test ideas in production
- Publish findings through reports or papers and contribute to future tech strategies
Skills mentioned
About this listing
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- Last seen listed
- Application page
- linkedin.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
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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.