Meta's Fundamental AI Research (FAIR) team is seeking a Research Engineer specializing in SysML to push the boundaries of artificial intelligence. This role combines cutting-edge research with practical implementation at unprecedented scale. As a Research Engineer, you'll be at the forefront of advancing AI through open science innovations, focusing on systems and infrastructure development that enables more efficient and sustainable AI solutions.
The position involves working on fundamental challenges in machine learning systems, including distributed training optimization, development of training libraries, 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 towards human-level intelligence.
The ideal candidate will have a strong background in both research and practical implementation, with at least 4 years of experience in systems, computer architectures, and machine learning. You should be proficient in languages like Python, C++, Rust, and frameworks like PyTorch. The role requires a unique combination of theoretical knowledge and hands-on experience in optimizing large-scale ML systems.
At Meta, you'll be part of a team that values innovation and collaboration, working alongside world-class researchers and engineers. The position offers competitive compensation ($70,670 - $208,000/year) plus bonus and equity, reflecting the high-impact nature of the role. You'll have the opportunity to publish research, contribute to major conferences, and directly influence Meta's product development through your innovations.
This role is perfect for someone who is passionate about pushing the boundaries of AI systems, enjoys solving complex technical challenges, and wants to make a significant impact on the future of artificial intelligence. You'll be working in Menlo Park, CA, at the heart of Meta's research initiatives, with access to state-of-the-art resources and the opportunity to shape the next generation of AI technologies.