Machine Learning Engineer

The mission of the ML Pipeline team at Grab is to empower machine learning engineers, data scientists, data analysts, and data engineers to test-and-learn their ideas and productionise them at scale. The team develops tools, systems and automation to increase productivity throughout the ML and AI development lifecycle. As a Machine Learning Engineer in our ML Pipeline team, you will be responsible for contributing to the design, implementation, and rollout of cutting-edge ML&AI platforms for large-scale workloads at Grab. The Critical Tasks You Will Perform Write production-grade code, perform code reviews and ensure exceptional code quality Build robust, lasting, and scalable products Iterate quickly without compromising quality Setup and define standards for complex pipelines including data engineering, feature engineering, model training, model quality verification, model deployment, etc. Automate cloud infrastructure provisioning and deployments of ML pipelines

Life at Grab At Grab, every Grabber is guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles - the 4Hs: Heart, Hunger, Honour and Humility. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast Asia.