Senior Machine Learning Engineer, Core Systems

About the Role Anthropic is dedicated to building reliable, interpretable, and steerable AI systems. We are seeking a Senior ML Engineer to join our Core Systems team to optimize the training and inference infrastructure for our Claude family of foundation models. Responsibilities Architect and implement high-performance distributed training and inference pipelines for massive transformer models. Work hand-in-hand with research scientists to unblock scaling bottlenecks and improve hardware utilization. Develop low-latency inference runtimes and model optimization techniques (quantization, pruning, kernel fusion). Monitor and triage large-scale cluster performance issues across heterogeneous GPU clusters. Requirements 5+ years of software engineering experience with a strong focus on large-scale machine learning infrastructure. Expert-level C++ and Python programming skills. Deep familiarity with distributed training paradigms (FSDP, Tensor Parallelism, Pipeline Parallelism). Experience working with cloud providers (AWS, GCP) and orchestration tools like Kubernetes. Benefits Competitive salary and generous equity package. Premium medical, dental, and vision benefits. Flexible working hours and remote-friendly culture within the US. Annual learning and development stipend. #J-18808-Ljbffr