Meta/Facebook, Core Systems

Position ID:
Meta/Facebook-Core Systems-RESEARCHSCIENTIST [#27567]
Position Title: 
Meta/Facebook seeking full-time research scientists in hardware and ML systems
Position Type:
Other
Position Location:
Menlo Park, California 94025, United States of America
Subject Area: 
Computer Science / Artificial intelligence and machine learning
Appl Deadline:
2025/04/01 11:59PMhelp popup
Position Description:
   

Meta, formerly known as Facebook, is seeking full-time research scientists and software engineers in Computer Science, specifically with experience in hardware and ML systems: 

  • GPU/ASIC architecture

  • GPU/ASIC-based ML kernel development and optimization (e.g. CUDA, ROCm) 

  • CPU-based threading models for x86 and ARM (e.g., OpenMP, Pthreads)

  • High performance computing (HPC), especially communication libraries (e.g., MPI, NCCL, RCCL, UCC, MPI)

  • Numeric libraries (e.g., low precision arithmetic, quantizations, mixed precision ops)

  • Distributed systems for hyperscale large language model (LLM) training

  • ML compiler and ML distributed technologies

These fields largely correspond to the research communities of MLSys, Super Computing (SC/ICS), AI-related parts of ISCA/SOSP/OSDI/ASPLOS/NSDI, NeurIPS, ICML, KDD, etc. 


The team work spans across both software and hardware. On the software side, among other things, we directly contribute to LLama-3, DLRM, and open-source projects like PyTorch FSDP and PyTorch2 compiler. On the hardware side, we directly contribute to the recently announced MTIA accelerator and the GrandTeton platform. In addition to numerous top-tier publications in related fields, our distinctive strength lies in the fact that our work is directly incorporated into production systems that impact billions of users across our products, including Instagram, Facebook, and meta.ai.


Ideal candidates should hold a Ph.D. and boast a strong publication record in top-tier conferences, including those mentioned earlier. While we excel in research and publication, our core emphasis lies in developing cutting-edge hardware and software innovations that run efficiently at scale and are integrated into production systems that connect billions of people world-wide on Meta platforms. It is important to note that we do not consider research papers as our end products, and our roles require extensive hands-on engineering work.


As we hire year-round and candidates can start at any time, please feel free to submit your application at any time in 2024 or 2025.


Application Materials Required:
Submit the following item online at this website to complete your application:
  • Curriculum Vitae
And anything else requested in the position description.

Further Info:
https://ai.meta.com/research/
email address
 
1 Hacker Way
Menlo Park, CA