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Meta · 2 days ago

Research Scientist Intern, AI & System Co-Design (PhD)

Menlo Park, CA

Internship

Onsite

Intern

$7,650/mo - $12,134/mo

2+ years exp

Meta builds technologies that help people connect, find communities, and grow businesses. As a Research Scientist Intern, you will be a key member of a team of innovators, working on leading AI workloads and distributed systems, and developing architectures to enable the future of AI SW/HW co-design.

Computer Software

Comp. & Benefits

Responsibilities

Lead and support research that accelerates ML applications over one or more of software, system and accelerator architectures, optimizing training and/or inference of next generation AI workloads here at Meta

Work towards long-term ambitious research goals, while identifying intermediate milestones

Lead and collaborate on research projects with other researchers and engineers across diverse disciplines

Communicate research agenda, progress and results

Influence progress of relevant research communities by producing publications

Qualification

Hardware ArchitectureDistributed SystemsHigh Performance ComputingC/C++PythonPyTorchAnalytical Problem SolvingResearch CommunicationTeam Collaboration

Required

Currently has, or is in the process of obtaining a PhD degree in the field of Computer Science or a related STEM field

Knowledge of Hardware Architecture and Distributed systems with interest in one or more of High Performance Computing, Numerics, Performance, and AI hardware including compute, networking, and storage

2+ years experience in one or more of High Performance Computing, Numerics, Performance and AI hardware including compute, networking and storage

Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred

Track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as MICRO, ISCA, HPCA, ASPLOS, ATC, SOSP, OSDI, MLSys or similar

Experience or knowledge in developing and debugging in C/C++, Python and/or PyTorch

Experience driving original scholarship in collaboration with a team

Experience leading a team in solving analytical problems using quantitative approaches

Experience in theoretical and empirical research and for answering questions with research

Experience communicating research for public audiences of peers

Experience working and communicating cross functionally in a team environment

Intent to return to the degree program after the completion of the internship/co-op