ML Systems Engineer Intern; PhD Scalable ML Platforms
Listed on 2026-10-12
-
Software Development
Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Meta seeks a PhD intern in Machine Learning to build scalable ML systems and web applications reaching millions. You will work with distributed computing, GPUs, and modern parallel environments, coding in Python/Java/C/C++ as part of a team that ships production ML tooling. This twelve-week internship starts in 2026 and matches you to teams based on interests.
Minimum qualifications include pursuing a PhD in CS/ML, strong research in ML or related fields, and work authorisation for the U.S.
For the ML Systems Engineer Intern (PhD) – Scalable ML Platforms position at Meta, we are reviewing applications now.
This is a great position to take on the ML Systems Engineer Intern (PhD) – Scalable ML Platforms role at Meta.
As a ML Systems Engineer Intern (PhD) – Scalable ML Platforms, you will play an important part at Meta in Menlo Park, CA, United States.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).