Research Engineer, SysML - FAIR

Meta's Fundamental AI Research (FAIR) team is seeking a Research Engineer to join their SysML division, focusing on advancing AI through innovative systems research. This role combines cutting-edge research with practical engineering to solve complex challenges in AI infrastructure and scaling.

The position involves working on fundamental advances in AI systems, particularly in areas such as distributed training at scale, performance optimization, and hardware-software co-design. You'll be working with technologies like cuBLAS, cuDNN, and FlashAttention to push the boundaries of AI system efficiency and scalability.

As a Research Engineer, you'll be responsible for conducting pioneering research in machine learning systems while implementing practical solutions that can be deployed at Meta's massive scale. The role requires a unique blend of research expertise and engineering skills, with opportunities to publish findings at top conferences and directly impact Meta's AI infrastructure.

Key aspects of the role include optimizing AI workloads, developing new methodologies for system evaluation, and collaborating with cross-functional teams to implement solutions. You'll work on making AI systems more efficient, scalable, and environmentally sustainable while mentoring other team members and contributing to the broader AI research community.

The ideal candidate will have extensive experience in machine learning systems, demonstrated through academic achievements or industry experience, with a strong background in computer science and system optimization. This role offers the opportunity to work on unprecedented challenges in AI scaling while contributing to open science innovations that advance the entire field.

Meta offers a competitive compensation package including base salary ranging from $85,100 to $251,000 annually, plus bonus, equity, and comprehensive benefits. The position is based in Menlo Park, CA, with access to Meta's world-class research facilities and the opportunity to collaborate with leading AI researchers and engineers.

This role represents a unique opportunity to shape the future of AI systems while working at one of the world's leading technology companies, with the resources and scale to make significant impacts in the field of artificial intelligence.