MLOps Engineer, Infrastructure

OpenAI's Infrastructure team is looking for an MLOps Engineer to help build and maintain the systems that train and serve the world's most capable AI models. You'll work on training pipelines, model serving infrastructure, monitoring, and developer tooling.

This is a high-impact role where you'll directly enable OpenAI's research and product teams to move faster and more reliably. You'll work with massive-scale distributed systems and cutting-edge hardware.

• 4+ years of MLOps or infrastructure engineering experience
• Strong Python and infrastructure-as-code skills
• Experience with Kubernetes, Docker, and cloud platforms (AWS/GCP/Azure)
• Familiarity with ML training frameworks (PyTorch, TensorFlow)
• Experience with distributed systems and high-performance computing
• Knowledge of GPU cluster management is a strong plus

• Top-tier compensation and equity
• Full benefits coverage
• Flexible work arrangements
• Access to state-of-the-art compute
• Mission-driven environment