Jobs

As a Research Engineer, ML Infrastructure, you will be crucial in building and owning the core systems that accelerate AI research, including distributed training infrastructure, experiment orchestration, and data pipelines. This role is for a proactive individual who can anticipate research needs and build scalable, reliable systems to support large-scale training jobs across thousands of GPUs. You will work directly with researchers, optimizing performance and implementing parallelism strategies to ensure no bottleneck slows down the frontier of AI development. Exceptional candidates will have deep experience in distributed training systems, strong systems engineering fundamentals, and proficiency in Python and C++ with PyTorch.