Description
Sequen is hiring a Staff MLOps Engineer to build, scale, and operate low-latency machine learning infrastructure for production ranking models. The role focuses on model serving, distributed inference, CI/CD, observability, evaluation pipelines, performance optimization, and collaboration with internal ML researchers. It requires 4–8+ years of experience in MLOps, machine learning engineering, or distributed platform engineering, along with expertise in Python, PyTorch, cloud platforms, containers, and scalable data pipelines. The position is available in New York, San Francisco, or remote within the United States, with a base salary of $220,000–$280,000 plus performance bonus and equity.
