Menlo

Machine Learning Engineer

• Own and evolve the infrastructure behind PyTorch-based training and inference workloads
• Build and maintain training and inference pipelines using PyTorch
• Own and evolve inference serving infrastructure
• Write and maintain robust tooling in Python and C++
• Optimize compute workloads for bare-metal environments
• Troubleshoot low-level networking issues
• Set up and manage ML environments
• Establish CI/CD patterns for AI workloads
• Integrate monitoring, alerting, and incident response

MLOps Engineer