Meta's Fundamental AI Research (FAIR) team is seeking Research Engineers to join their SysML division, focusing on advancing artificial intelligence through groundbreaking systems innovations. This role combines cutting-edge research with practical engineering to solve complex challenges in AI systems at unprecedented scale.
The position involves working on fundamental advances in distributed training, performance optimization, and hardware-software co-design. You'll be developing and optimizing critical components like cuBLAS, cuDNN, and FlashAttention, while focusing on efficiency and sustainability in AI systems development.
As a Research Engineer, you'll contribute to Meta's mission of advancing AI through open science innovations, working with state-of-the-art technologies and frameworks. The role offers unique opportunities to publish research, impact product development, and collaborate with leading researchers in the field.
The ideal candidate should have strong technical expertise in machine learning systems, demonstrated through academic achievements or industry experience. You'll need proficiency in languages like Python, C++, or Rust, and experience with PyTorch. The role requires both research capabilities and practical engineering skills to implement solutions at scale.
This position offers competitive compensation, including equity and benefits, and the opportunity to work on challenging problems that push the boundaries of AI technology. Join Meta's FAIR team to help shape the future of AI systems while working alongside world-class researchers and engineers in a collaborative environment.