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About the Role
Meta FAIR is seeking Research Scientist Interns to innovate systems for frontier AI research. The role involves tackling challenges in large-scale AI training, inference, and agent infrastructure, aiming to enhance the speed, efficiency, and predictability of AI research at scale. Interns will lead their own research projects from conception to publication with expert mentorship.
Responsibilities
- Identify and formulate open research problems in how AI workloads use and share large-scale compute.
- Plan and execute original research that advances the state of the art in AI systems and infrastructure.
- Collaborate with research scientists and engineers to translate findings into published work and open artifacts.
- Communicate results clearly to both specialist and non-specialist audiences.
Requirements
- Currently have, or be in the process of obtaining, a PhD in computer science, computer engineering, electrical engineering, operations research, or a related field.
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
- First-author publication record at a top-tier systems or ML venue (OSDI, SOSP, NSDI, EuroSys, ASPLOS, SC, MLSys, NeurIPS) or equivalent.
- Proficient in Python and at least one systems language such as C++, Go, or Rust.
Skills
- Python
- C++
- Go
- Rust
- Kubernetes
- Slurm
- Workload characterization
- Performance modeling
- Simulation of large-scale systems
- Machine learning applied to systems problems
- Infrastructure for LLM training, inference, or agents
Work Type
- Internship
Experience Level
- PhD student
Education Level
- PhD
Salary/Compensations
- $115,500/year to $135,516/year
About the Company
- Meta Fundamental AI Research (FAIR) is a world-class, multi-disciplinary team of research scientists and engineers working on the future of AI systems and infrastructure.