Research Scientist Intern, AI Systems and Infrastructure (PhD)

Meta; New York (NY); On-site; USD 107,000 - 126,000; Full time

Job summary

Meta Fundamental AI Research (FAIR) is seeking Research Scientist Interns to rethink AI systems and infrastructure for frontier AI research in New York. Interns will own projects end-to-end with mentorship and publish results.

Internships span 12 to 24 weeks with multiple start dates; compensation includes a base monthly rate and benefits. This role emphasizes originality over predefined tasks and collaboration across disciplines.

Qualifications

• PhD in computer science, computer engineering, electrical engineering, operations research, or related field.
• Must obtain work authorization at hire and maintain during employment.
• First-author publication at top-tier venues (e.g., OSDI/SOSP/NSDI/EuroSys/ASPLoS/SC/MLSys/NeurIPS).
• Proficient in Python and at least one systems language (C++, Go, or Rust).

Responsibilities

• Identify and formulate open research problems in AI workloads on large-scale compute.
• Plan and execute original research with empirical evaluation.
• Collaborate to translate findings into publications and artifacts.
• Communicate results clearly to specialist and non-specialist audiences.

Skills

Python

C++

Go

Rust

Education

PhD in CS/CE/OR

Tools

Kubernetes

Slurm

Job description

Meta Fundamental AI Research (FAIR) is looking for Research Scientist Interns to rethink the systems that power frontier AI research. AI workloads are changing faster than the infrastructure beneath them: large-scale training, inference, evaluation, and autonomous AI agents now compete for the same accelerators. Many of the resulting questions about how to share, schedule, and operate compute at scale have no established answers. Our team works across the stack, from hardware-software co-design and performance modeling to cluster scheduling, resource management, and the infrastructure needs of agentic AI. The goal is to make AI research faster, more efficient, and more predictable at any scale. In this role you will embed with a world-class, multi-disciplinary team of research scientists and engineers to pursue an open research question end to end - from problem framing through experimentation to publication. Interns are expected to drive their own project with mentorship, not execute a predefined task list. Our internships are twelve (12) to twenty four (24) weeks long, and we have various start dates throughout the year.

Research Scientist Intern, AI Systems and Infrastructure (PhD) 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, from new abstractions and algorithms to rigorous empirical evaluation.
• 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.

Minimum Qualifications:

• Currently has, or is 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

Preferred Qualifications:

• Experience with cluster schedulers or resource managers such as Kubernetes or Slurm
• Experience with workload characterization, performance modeling, or simulation of large-scale systems
• Experience applying ML to systems problems, or building infrastructure for LLM training, inference, or agents
• Intent to return to the degree program after the completion of the internship

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Aff... We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].

$9,625/month to $11,293/month + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.