Research Scientist Intern - AI Infra
MetaAdded 3h ago
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Quick summaryby newgrad.ai
What you'll do
- Research and develop AI agents to optimize recommendation system infrastructure.
- Analyze performance bottlenecks in training and inference workflows.
- Collaborate with engineers to improve GPU computing efficiency.
What they're looking for
- Interest in machine learning, systems, and GPU computing.
- Ability to complete a 12 to 24-week internship.
- Availability for various start dates throughout the year.
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.
From Meta's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.
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