Aura is on a mission to create a safer internet. In a world where our lives are increasingly online, Aura’s category-defining suite of intelligent digital safety products help millions of customers protect themselves against digital threats, and that number is growing rapidly. This is an exciting phase at Aura, and our team of over 400 people worldwide is guided by a leadership slate that’s successfully grown startups into multi-billion dollar organizations.
Come build with us!

We are looking for a MLOps Engineer to help us accomplish our mission to become the premier digital safety organization of the world. In this role you will be responsible for designing, building, and maintaining the infrastructure and pipelines that support the end-to-end machine learning lifecycle from model development through deployment and monitoring. You will work closely with data scientists, data engineers, product managers, and platform teams to productionalize models, automate workflows, and ensure compliance with privacy and security best practices. This role requires deep understanding in cloud infrastructure, CI/CD for ML, orchestration, and model performance monitoring. You will be responsible for supporting the entire lifecycle of model development to help build automatic processes to ensure near-zero downtime. You will play a central role in shaping Aura’s ML platform and MLOps practices, ensuring our AI solutions are robust, reproducible, and deliver meaningful value to our customers.