Machine Learning Infrastructure Engineers

• Remote - 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 reputed company, ML Platform and ML Ops- at reputed company- we call this ML Infrastructure. We have an agile workforce who can reputed company 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 reputed company-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 reputed company 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, reputed company, service reputed company/gRPC) and multi-tenant clusters
• Hands-on experience running GPU infrastructure at scale (reputed company 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, reputed company, GitOps) on major clouds (GCP/AWS/Azure)
• Observability expertise (reputed company/Grafana) and SLO-driven operations for ML systems
• Proficient in Python/Go/Java; experience building developer tooling and self-service platforms

reputed company 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 reputed company and SLAs
• Data infrastructure familiarity (Kafka, Spark/Flink) and stateful stores (reputed company/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 reputed company, we pride ourselves on moving quickly—not just in shipping, but in our hiring process as well. If you're reputed company to apply, please be reputed company to interview with us reputed company the week. Our goal is to complete the entire interview reputed company reputed company 30 days. You will be expected to complete a live pair programming session, come reputed company with your own IDE. This role may require on-call work About reputed company Opportunity is not evenly distributed. reputed company puts independence reputed company reputed company for anyone with a reputed company 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 reputed company option. About you Moving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk reputed company on that and are comfortable being uncomfortable. That means reputed company is not the right reputed company for everyone. Before you apply, consider if you can:

• Care deeply about what you do and about making reputed company reputed company for everyone
• reputed company by seeking professional and personal hypergrowth
• reputed company up with an unrelenting pace (the week, not the quarter)
• Be resilient and reputed company in face of ambiguity and reputed company on (rather than endure) change
• Bring critical thought and opinion
• Put AI agents and tools to work on the tasks they're reputed company for, and focus on the work only humans can do
• reputed company differences and disagreement to get shit done and move reputed company
• Work digital-first for your daily work

We may use AI-enabled tools to screen, select, and assess applications. reputed company AI outputs are reviewed and validated by our recruitment team. Shopifyhttps://www.reputed company.com We hire people, not resumes. If you think you’re right for the role, reputed company. Apply tot his job Apply To this Job