About the role#
Meta is looking for PhD students to join the Fundamental AI Research team. You will work on systems that power AI research, focusing on how large-scale training, inference, and autonomous agents share compute resources. This role involves end-to-end research, from framing problems to experimentation and publication. You will drive your own project with mentorship rather than following a predefined task list. Internships last between 12 and 24 weeks with rolling start dates.
What you'll do#
- Identify and formulate open research problems regarding how AI workloads use and share large-scale compute.
- Plan and execute original research, including new abstractions, algorithms, and empirical evaluation.
- Collaborate with scientists and engineers to create published work and open artifacts.
- Communicate your findings to both specialist and non-specialist audiences.
What you'll need#
- Currently pursuing a PhD in computer science, computer engineering, electrical engineering, operations research, or a related field.
- A first-author publication record at a top-tier systems or ML venue such as OSDI, SOSP, NSDI, EuroSys, ASPLOS, SC, MLSys, or NeurIPS.
- Proficiency in Python and at least one systems language like C++, Go, or Rust.
- Experience with cluster schedulers or resource managers like Kubernetes or Slurm.
- Experience with workload characterization, performance modeling, or large-scale system simulation.
- Experience applying ML to systems problems or building infrastructure for LLM training, inference, or agents.
- Intent to return to your degree program after the internship.
- Must obtain and maintain work authorization in the country of employment.
Location & details#
- This is a full-time, paid, on-site internship.
- Positions are located in Menlo Park, California, and New York, New York.
About Meta
Meta develops software and social media applications. It operates platforms such as Facebook, Messenger, Instagram, and WhatsApp. The company maintains headquarters in Menlo Park, California. Current work focuses on augmented and virtual reality alongside artificial intelligence and machine learning.
How to get in at Meta
Landing an internship at Meta requires a proactive approach to the application process. Intern Insider sends an instant alert the moment a role matching your target is published, allowing you to apply among the first. Early applicants often have their materials reviewed before the applicant pool grows significantly. You can use Intern Insider to surface the recruiters behind specific roles at Meta. Reaching out directly to these individuals to ask about the position or a referral often improves your response rates compared to applying into a queue.
