ML Platform Engineer

Summary

As an ML Platform Engineer youll help build and evolve the infrastructure that enables machine learning teams to develop deploy and operate models efficiently at scale. Youll work closely with Data Scientists Data Engineers MLOps engineers and Product Engineering teams to build reliable secure and scalable ML platform capabilities.

Job Description

• Design develop and maintain components of a scalable and secure ML platform supporting the machine learning lifecycle from data ingestion and model training to deployment and monitoring.

• Build infrastructure for model training experiment tracking hyperparameter tuning and model registry using tools such as MLflow Kubeflow SageMaker Vertex AI or similar technologies.

• Develop and maintain automated ML workflows and CI/CD pipelines for machine learning applications.

• Collaborate with Data Scientists and Data Engineers to build reliable model-ready datasets and improve the ML development experience.

• Help optimize ML workloads across cloud infrastructure compute and storage to improve scalability and efficiency.

• Contribute to platform reliability by implementing monitoring logging testing and operational best practices.

• Participate in design discussions code reviews and technical planning while contributing to engineering best practices.

• Ensure platform components meet security privacy and compliance requirements.

At Guidewire we foster a culture of curiosity innovation and responsible AI. We encourage engineers to leverage emerging AI capabilities and data-driven insights to improve engineering productivity and deliver secure scalable solutions for the insurance industry.

• Demonstrated ability to embrace AI and apply it in day-to-day engineering work to improve productivity and software quality.

• Bachelors or Masters degree in Computer Science Engineering or a related technical field.

• 3 years of software engineering experience including experience building or supporting ML platforms data platforms or cloud-native applications.

• Strong programming skills in Python Go or Java.

• Experience with Docker and Kubernetes or similar container orchestration technologies.

• Familiarity with MLOps tools such as MLflow Kubeflow SageMaker Vertex AI or Databricks.

• Experience working with cloud platforms such as AWS Azure or GCP.

• Basic understanding of machine learning workflows and common algorithms.

• Strong communication collaboration and problem-solving skills.

• Experience deploying and monitoring machine learning models in production.

• Familiarity with feature stores workflow orchestration tools (Airflow Argo) or model monitoring solutions.

• Exposure to streaming technologies such as Kafka or Spark.

• Experience with Infrastructure as Code and CI/CD tools such as Terraform and TeamCity.

• Familiarity with ML governance reproducibility and model lifecycle management.

• Experience in the insurance financial services or another regulated industry.

During your first six months you will:

• Deliver core ML platform capabilities that improve the productivity of machine learning teams.

• Collaborate with cross-functional teams to build scalable reliable and secure ML infrastructure.

• Contribute to automation operational excellence and engineering best practices across the ML platform.

• Help improve the developer experience for building deploying and managing machine learning models.

• Support Guidewires AI initiatives by delivering robust platform capabilities that enable teams to build and operate ML solutions efficiently.

The US base salary range for this full-time position is $124000 - $210000. Your base pay will depend on your experience skills education training and location among other factors. All full-time positions or part-time roles working 30 hours or more a week at Guidewire are eligible for benefits that support their health and well-being including health dental and vision insurance paid time off and a company sponsored retirement addition some roles may be eligible for the annual company bonus plan commissions and/or long term incentive awards which are contingent on a variety of factors including but not limited to company and employee performance.

Disability Accommodations and Guidewires Appeals Process. Guidewire provides accommodations to the hiring process to create a fair opportunity for candidates with disabilities to contend for open positions. Accommodation requests should be directed to If things do not go as hoped we invite you to use our appeals process. Guidewire promises to independently review any denied accommodation and any decision not to offer you the position. The appeals process is the same in either case. Within five business days of receiving a notice of denial of an accommodation or receiving a notice of your non-selection for a vacancy e-mail to make an appeal. Guidewire will assign a new decision-maker to review the request and/or hiring decision who will then notify you in writing of a decision within 10 business days.

About Guidewire

Guidewire is the platform P&C insurers trust to engage innovate and grow efficiently. We combine digital core analytics and AI to deliver our platform as a cloud service. More than 540 insurers in 40 countries from new ventures to the largest and most complex in the world run on Guidewire.

As a partner to our customers we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 1600 successful projects supported by the largest R&D team and partner ecosystem in the industry. Our Marketplace provides hundreds of applications that accelerate integration localization and innovation.

For more information please visit and follow us on Twitter: @GuidewirePandC.

Guidewire Software Inc. is proud to be an equal opportunity and affirmative action employer. We are committed to an inclusive workplace and believe that a diversity of perspectives abilities and cultures is a key to our success. Qualified applicants will receive consideration without regard to race color ancestry religion sex national origin citizenship marital status age sexual orientation gender identity gender expression veteran status or disability. All offers are contingent upon passing a criminal history and other background checks where its applicable to the position.