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 implementation at unprecedented scale, working on distributed training systems and performance optimization.
The position offers an opportunity to work at the intersection of systems engineering and machine learning, developing solutions for scalable AI infrastructure. You'll be contributing to fundamental advances in AI technology while working with state-of-the-art tools and frameworks. The role involves collaboration with world-class researchers and engineers, focusing on both theoretical advances and practical implementations.
As a Research Engineer, you'll be responsible for developing and optimizing machine learning systems, working on hardware-software co-design, and contributing to open science innovations. The role requires expertise in systems development, machine learning, and performance optimization, with opportunities to publish research and directly impact Meta's products.
The ideal candidate will have strong technical skills in systems engineering and machine learning, with experience in languages like Python, C++, or Rust, and frameworks like PyTorch. You'll be working in Meta's collaborative environment, with access to large-scale computing resources and real-world applications of your research.
This position offers competitive compensation, including base salary, bonus, equity, and comprehensive benefits. Join Meta's FAIR team to help shape the future of AI technology while working on challenging problems at scale.