Senior Machine Learning Platform Engineer

Summary

Job Description

What youll 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 AIempowering our teams to continuously leverage emerging technologies and data-driven insights to enhance productivity and outcomes.

What youll bring

• 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.

• Bachelors or Masters 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).

• Familiarity 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).

Your Impact

We believe in clarity and setting you up for your first six months youll 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 Guidewires 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.

Whats 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

At Guidewire youll help transform the insurance industry working alongside a collaborative innovative team committed to customer success and continuous improvement. Your contributions will support our wider mission to deliver measurable value efficiency and success for customers through secure scalable and AI-powered solutions.

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.