Research Engineer, SysML - FAIR

Meta's Fundamental AI Research (FAIR) team is seeking Research Engineers to join their cutting-edge SysML research group. This role represents a unique opportunity to advance the field of artificial intelligence through open science innovations at one of the world's leading tech companies.

The position focuses on exploring, designing, and building ML systems and infrastructures at scale, with emphasis on usability, efficiency, and sustainability. You'll work on enabling distributed training at unprecedented scales through advancements in training libraries and components, including cuBLAS, cuDNN, and FlashAttention, while also focusing on training performance acceleration through hardware-software co-design.

As a Research Engineer at FAIR, you'll be at the forefront of AI systems research, working on fundamental advances in technologies that help interact with and understand our world. The role combines cutting-edge research with practical implementation, requiring expertise in both machine learning systems and software engineering. You'll have the opportunity to publish your research findings and contribute directly to Meta's product development.

The ideal candidate should have strong technical foundations in computer science, particularly in systems, computer architectures, and machine learning. Experience with Python, C++, and the PyTorch framework is essential, as is a track record of developing and optimizing large-scale machine learning systems. The role offers competitive compensation, including a base salary range of $70,670 to $208,000 annually, plus bonus, equity, and comprehensive benefits.

Working at Meta means joining a company that's building the future of digital connection, going beyond traditional social media into areas like virtual and augmented reality. The company offers a collaborative environment where research can be applied at unprecedented scale, with the potential to impact billions of users worldwide. This position represents an excellent opportunity for those passionate about advancing AI technology while working on practical applications that shape the future of human interaction.