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Research Scientist Intern, AI Infra (PhD)
Meta Platforms · Menlo Park, CA · Posted 3 days ago
Scope a research project on a real GPU training or inference bottleneck in the video recommendation stack serving Reels and Live, building AI agents that optimize it.
Meta is seeking AI Research interns to join our Video Recommendations team within Facebook, focusing on the training and inference infrastructure behind video recommendations. The team helps people discover engaging, high-quality content across Reels, long videos, and Live streams.
In this role, you will pursue a scoped research project on a selected workload or performance bottleneck, researching and building AI agents that analyze, optimize, and iteratively improve recommendation infrastructure. You will work at the intersection of machine learning, systems, and GPU computing, collaborating with Research Scientists and Software Engineers to turn research into measurable gains in training efficiency and inference performance.
Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
This posting is sourced from Meta Platforms's own career site — applying takes you there directly.
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There are 1,402 open roles at Meta Platforms right now. This role is one of 966 Research Scientist openings and centers on Machine Learning, Gpu Computing, AI Agents, and Distributed Systems.
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