Machine Learning & Data Engineer - L2

Twilio’s L2 Machine Learning & Data Engineer designs, builds, and maintains the data pipelines, training workflows, and real-time inference services that power AI-driven communications. You will convert raw interaction data into reliable, scalable systems that internal product teams and external builders trust to prototype, deploy, and measure machine-learning solutions at global scale. In this role, you’ll: Build and optimize batch and streaming data pipelines processing billions of interaction events per day. Implement reusable model-training and evaluation workflows on Twilio’s internal ML platform. Deploy, monitor, and troubleshoot low-latency inference services in Kubernetes and serverless environments. Automate data-quality checks, feature logging, and lineage tracking to guarantee trustworthy datasets. Collaborate with product, data-science, and DevOps partners to translate business goals into technical roadmaps. Contribute to design reviews, code reviews, and documentation to elevate engineering standards. Instrument systems with metrics, alerts, and dashboards that uphold reliability objectives. Participate in on-call rotations and continually improve CI/CD pipelines.