Senior Machine Learning Platform Engineer

United States - Remote

Product Development and Operations/Full time/Remote

Join Guidewire’s Product Development & Operations (PDO) team, where we deliver operational excellence and transformative innovation for the world’s leading P&C insurance software. Our team is at the forefront of AI, cloud, and data platform adoption, working collaboratively in a hybrid environment to ensure secure, scalable, and efficient solutions. We thrive on curiosity, continuous improvement, and a culture that values diverse perspectives and teamwork.

As a Senior Machine Learning Platform Engineer, you will architect and scale the ML platform that powers Guidewire’s next-generation products. This is a high-impact role for a technical leader passionate about distributed systems, MLOps, and empowering data-driven innovation. You will help shape the future of insurance technology by enabling seamless ML workflows and accelerating the adoption of AI across Guidewire’s solutions. Job Description What you’ll do Architect and guide the design of a scalable, secure ML platform supporting the full ML lifecycle, from data ingestion to model monitoring. Design and implement infrastructure for model training, hyperparameter tuning, experiment tracking, and model registry. Orchestrate ML workflows using tools such as Kubeflow, SageMaker, MLflow, or similar. Collaborate with Data Scientists, MLOps engineers, Data Engineers, and Product Engineering to define best practices for reproducibility, governance, and CI/CD for ML. Partner with Data Engineers to build robust data pipelines for model-ready datasets. Optimize ML workload performance across compute and storage layers using cloud-native and open-source solutions. Lead technical discussions, mentor junior engineers, and help set the technical vision for the ML platform roadmap. Ensure compliance with security, privacy, and regulatory requirements throughout the ML lifecycle. At Guidewire, we foster a culture of curiosity,...