Meta's Fundamental AI Research (FAIR) team is seeking Research Engineers to join their SysML division, focusing on advancing artificial intelligence through innovative systems research. This role combines cutting-edge AI research with practical systems engineering, working on technologies that enable distributed training at unprecedented scales. The position involves developing and optimizing machine learning systems, working with technologies like cuBLAS, cuDNN, and FlashAttention, and contributing to training library components.
The role offers an opportunity to make fundamental advances in AI systems while working at Meta's scale. You'll be part of a team committed to open science innovations, focusing on building ML systems and infrastructures with emphasis on usability, efficiency, and sustainability. The work involves hardware-software co-design for training performance acceleration and developing solutions for resource-efficient AI scaling.
As a Research Engineer, you'll collaborate with world-class researchers and engineers, publishing your findings at top conferences and directly impacting Meta's product development. The position requires a strong background in both computer science and machine learning, with experience in systems optimization and large-scale ML deployment.
Meta offers a competitive compensation package including base salary ranging from $70.67/hour to $208,000/year, plus bonus and equity opportunities. The company provides comprehensive benefits and the chance to work on technologies that impact billions of users worldwide. This role is perfect for candidates passionate about pushing the boundaries of AI systems while considering practical implementation challenges at scale.