Machine Learning Engineer III
About The Position
Join Guidewire’s Product Strategy team in San Mateo, where we drive operational excellence and transformative innovation by embedding AI and GenAI across our product portfolio. Our mission is to deliver secure, scalable, and efficient solutions that create measurable value for customers worldwide. You’ll collaborate in a culture that values curiosity, teamwork, and continuous improvement, working with cutting-edge technologies to shape the future of insurance technology. As a Machine Learning Engineer III, you will be a primary stakeholder and key developer for the complete end-to-end ML Ops lifecycle at Guidewire. This role is critical to designing, testing, and building infrastructure for Guidewire’s AI and ML models, creating data solutions, developing automated systems, and deploying models at scale. We seek a passionate engineer who thrives on solving complex problems and is excited to contribute to Guidewire’s mission of transforming the P&C insurance industry through innovation and customer-centricity. 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.
Requirements
- 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.
- Strong experience in ML Ops, including designing and deploying end-to-end machine learning pipelines.
- Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
- Solid understanding of data engineering, model monitoring, and CI/CD for ML systems.
- Excellent problem-solving skills, collaboration, and communication abilities.
- Ability to work in a fast-paced, agile environment and adapt to evolving priorities.
- Commitment to Guidewire’s values of curiosity, collaboration, and customer-centricity.
Nice To Haves
- Bachelor’s degree in Computer Science, Engineering, or related field; advanced degree preferred or equivalent experience.
- Experience with insurance technology, large-scale data systems, or regulated industries.
- Familiarity with GenAI, data privacy, and security best practices.
Responsibilities
- Lead the design, development, and deployment of robust ML Ops infrastructure to support Guidewire’s AI and ML initiatives.
- Build and maintain scalable data pipelines and automated systems for model training, testing, and deployment.
- Collaborate with cross-functional teams to deliver secure, reliable, and efficient AI solutions that address evolving customer needs.
- Develop and implement best practices for monitoring, versioning, and maintaining ML models in production environments.
- Drive adoption of AI and GenAI capabilities across Guidewire’s product portfolio, supporting operational excellence and transformative innovation.
- Contribute to the launch of new AI-powered products and features, ensuring measurable value and customer success.
- Mentor and support team members in AI/ML engineering practices and foster a culture of continuous learning.
Benefits
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
1,001-5,000 employees
