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# Senior Machine Learning Engineer - AI/ML

- **Company:** Guidewire Software
- **Location:** San Mateo, CA, United States
- **Experience:** Expert
- **Salary:** $148,000.0 - $247,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Artificial Neural Networks, Microsoft Azure, Cloud Computing, Cloud Engineering, Computer Programming, Continuous Integration, Distributed Systems, Generalized Linear Model, Python (Programming Language), Machine Learning, Open Source Technology, Azure Machine Learning, Software Engineering, Workflow Management Systems, Data Ingestion, Random Forest, Deep Learning, Containerization, Kubernetes, Information Technology, Apache Flink, Xgboost, Apache Kafka, Spark Streaming, Machine Learning Operations, Teamcity, Terraform, Data Pipelines, Guidewire, Docker, Databricks, Microservices
- **Published:** May 21, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=37f0117f05675ce7

## About the Role

Do you have experience in Team leadership?, Demonstrated ability to embrace AI and apply it to your current role as well as data-driven insights to drive innovation, productivity, and continuous improvement. Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 10+ years of software engineering experience, including 5+ years working on ML platforms or infrastructure. Expertise in building large-scale distributed systems and microservices. Strong programming skills in Python, Go, or Java. Experience with containerization and orchestration (e.g., Docker, Kubernetes). Advanced experience with MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or Databricks. Cloud platform experience (AWS, GCP, or Azure). Experience with statistical learning algorithms (GLM, XGBoost, Random Forest) and deep learning (neural networks, transformers). Strong communication, leadership, and problem-solving skills.

Preferred
Experience with real-time model inference and streaming ML pipelines. Deep knowledge of model governance, reproducibility, and monitoring. Understanding of model performance metrics and drift detection. Exposure to feature stores (Feast, Tecton) and workflow tools (Airflow, Argo). Familiarity with regulatory considerations (model auditability, interpretability, data privacy laws such as CCPA/GDPR). Experience with real-time data pipelines (Kafka, Flink, Spark Structured Streaming). Experience using TeamCity and Terraform for infrastructure setup and CI/CD. Insurance industry or related experience (banking, finance).

## Description

High-priority opening - we're moving fast and looking to hire ASAP.
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, innovation, and responsible
use of AI-empowering our teams to continuously leverage emerging technologies and data-driven insights to enhance productivity and outcomes., We believe in clarity and setting you up for success. In your first six months, you'll lead the design and implementation of core ML platform components, collaborate with cross-functional teams to deliver scalable solutions, and establish best practices for ML operations. Your work will directly support Guidewire's mission to deliver secure, efficient, and innovative insurance technology, driving measurable value for our customers and accelerating the adoption of AI and cloud capabilities. Over time, your leadership will influence the technical direction of our ML platform and empower teams across the company.
What's in it for you
The people we employ give their all, and in return, we offer flexibility wherever we can, such as:
Flexible work environment Health and wellness benefits Paid time off programs, including volunteer time off Market-competitive pay and incentive programs Continual development and internal career growth opportunities A new in-person orientation process for all roles


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