Remote MLOps Engineer for Frontier AI Systems
Mercor
Mercor is seeking a hands-on ML systems engineer for a fully remote, 40-hour week engagement. You will contribute to accelerator kernel development, performance profiling, and scalable model serving.
The role requires deep experience with JAX/PyTorch and modern accelerators, with a focus on reliable, high-throughput ML infrastructure. You will collaborate with research and engineering teams to design tasks, provide technical feedback, and help maintain training data quality for frontier AI
#J-18808-LjbffrReference: WJ-5769_65346