Americas Engineering \& Data About the role Machine Learning Infrastructure Engineers build and operate the end\-to\-end platform that powers AI—from data ingestion and training to large\-scale, low\-latency inference. They design high\-performance, GPU\-accelerated systems on Kubernetes, craft self\-serve developer experiences, and ship the paved roads that let ML teams move fast, safely, and at global scale. Some companies separate ML Infra, ML Platform and ML Ops\- at Shopify\- we call this ML Infrastructure. We have an agile workforce who can flex their experience and solve problems across these three domains. **Responsibilities:** Build and operate ML control planes, APIs, CLIs, SDKs, and self\-serve golden paths Design and optimize multi\-tenant GPU Kubernetes clusters, including autoscaling, scheduling, packing, and utilization **Own model lifecycle:** training orchestration/experiments, registries/versioning, CI/CD, canary/blue\-green, and safe rollback Build real\-time serving stacks (KServe/Seldon/TensorFlow Serving) and end\-to\-end pipelines for batch and streaming Design feature platforms and engineer storage/data movement for datasets, features, and artifacts tuned for cost/performance Implement observability and SLOs across pipelines, training, and inference; automate remediation and capacity planning Partner with ML, data, and product teams to unblock delivery and accelerate idea\-to\-impact **Qualifications:** Proven platform/infrastructure engineering experience with a track record of shipping production systems and code Deep Kubernetes/containerization expertise for ML workloads (operators, Helm, service mesh/gRPC) and multi\-tenant clusters Hands\-on experience running GPU infrastructure at scale (NVIDIA ecosystem; scheduling/packing/optimization) Strong distributed systems and API/service design fundamentals; experience with high\-scale inference Proficiency with infrastructure\-as\-code and automation (Terraform, Helm, GitOps) on major clouds (GCP/AWS/Azure) Observability expertise (Prometheus/Grafana) and SLO\-driven operations for ML systems Proficient in Python/Go/Java; experience building developer tooling and self\-service platforms **Nice to Haves:** **Model serving and lifecycle tooling:** KServe/Seldon/TensorFlow Serving, Kubeflow, MLflow/W\&B, model registries, DVC Feature store experience (Feast/Tecton) with online/offline parity and SLAs Data infrastructure familiarity (Kafka, Spark/Flink) and stateful stores (Redis/MySQL); CI/CD for online/batch inference Model performance optimization (batching, caching, quantization, distillation) and hardware\-aware tuning Experience with experimentation/A/B testing platforms and online evaluation frameworks At Shopify, we pride ourselves on moving quickly—not just in shipping, but in our hiring process as well. If you're ready to apply, please be prepared to interview with us within the week. Our goal is to complete the entire interview loop within 30 days. You will be expected to complete a live pair programming session, come prepared with your own IDE. This role may require on\-call work About Shopify Opportunity is not evenly distributed. Shopify puts independence within reach for anyone with a dream to start a business. We propel entrepreneurs and enterprises to scale the heights of their potential. Since 2006, we’ve grown to over 8,300 employees and generated over $1 trillion in sales for millions of merchants in 175 countries. This is life\-defining work that directly impacts people’s lives as much as it transforms your own. This is putting the power of the few in the hands of the many, is a future with more voices rather than fewer, and is creating more choices instead of an elite option. About you Moving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk thrive on that and are comfortable being uncomfortable. That means Shopify is not the right place for everyone. **Before you apply, consider if you can:** Care deeply about what you do and about making commerce better for everyone Excel by seeking professional and personal hypergrowth Keep up with an unrelenting pace (the week, not the quarter) Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change Bring critical thought and opinion Use AI tools reflexively as part of your fundamental workflow Embrace differences and disagreement to get shit done and move forward Work digital\-first for your daily work Shopifyhttps://www.shopify.com We hire people, not resumes. If you think you’re right for the role, apply now. First things first We want to ensure you’re the type of person who will thrive here so we can move you quickly through our hiring process. Before completing the job application, please check all the statements that apply to you below: I care deeply about what I do I am always seeking new (sometimes uncomfortable) growth I thrive on change in an ambiguous environment I get shit done and can keep pace to ship weekly I have a history of being resilient and resourceful I want to make commerce better for everyone It looks like you might not be a great fit for Shopify at this time — while we encourge everyone to apply, we are looking for someone who can meet all these criteria.