Remote Devops Jobs • MLOps

Manage research infrastructure and boost its efficiency and scalability. This role involves maintaining GPU clusters and standalone machines, building robust monitoring, and removing bottlenecks that slow down experimentation. Work alongside ML researchers and engineers to solve practical problems across a wide range of projects involving distributed training, reinforcement learning, training agentic backbones, and more.

CompScience is looking for an experienced and self-motivated Sr MLOps Engineer to join their growing team and take ownership of the infrastructure that powers their core machine learning products. You will be responsible for designing, building, and maintaining the systems that automate the entire lifecycle of our ML models from data pipelines and training to deployment and production monitoring.

As an early technical leader, you’ll take ownership of the systems that make large-scale attribution and licensing possible – ensuring our platform runs reliably, efficiently, and securely across millions of creative works. You’ll thrive in our team if you’re pragmatic, adaptable, and excited to build real systems in a fast-moving environment. We value shipping, testing, and improving over perfection — and we take pride in building technology that genuinely makes a difference.