Research Engineer, SysML - FAIR

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 push the boundaries of AI systems at unprecedented scale.

The position involves working on critical challenges in machine learning systems, including distributed training optimization, development of training libraries and components, and hardware-software co-design for performance acceleration. You'll be working with technologies like cuBLAS, cuDNN, and FlashAttention while contributing to Meta's mission of advancing AI through open science innovations.

As a Research Engineer, you'll be responsible for conducting pioneering research in scalable machine learning systems, developing resource-efficient AI algorithms, and creating environmentally-sustainable AI system designs. The role requires a strong background in computer science, particularly in systems, architectures, and machine learning, with expertise in languages like Python, C++, and Rust.

The ideal candidate will have at least a Master's degree with 4+ years of relevant experience, though a PhD is preferred. You should have a proven track record of achieving significant results, potentially demonstrated through publications at leading conferences like MLSys, ISCA, or NeurIPS. The role offers competitive compensation including salary, bonus, equity, and comprehensive benefits.

Working at Meta means joining a company at the forefront of AI research, with the opportunity to make fundamental advances that impact billions of users. You'll be part of a collaborative environment that values innovation, open science, and sustainable AI development. This is a chance to shape the future of AI systems while working with world-class researchers and engineers in Meta's FAIR team.