Machine Learning Engineer

You will build the compute platform and ML libraries for large-scale training and simulation workloads. Focus on compute platform stability and efficiency on CPU and GPU clusters, with strong emphasis on observability and scalability. Use cluster monitoring and profiling tools to identify bottlenecks and optimize both infrastructure and software systems. Design, deploy, profile, and troubleshoot Linux-based environments, containerized workflows, and distributed training pipelines. Work with PB-scale data, storage solutions, and data-intensive workloads, collaborating with ML researchers and data scientists to productionize workflows. Join a high-trust, low-bureaucracy environment with access to cutting-edge compute resources and long-term AI innovation.