Senior Machine Learning Platform Engineer jobs in United States
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Guidewire Software · 2 weeks ago

Senior Machine Learning Platform Engineer

Guidewire Software is at the forefront of AI, cloud, and data platform adoption in the P&C insurance software industry. They are seeking a Senior Machine Learning Platform Engineer to architect and scale their ML platform, enabling seamless ML workflows and accelerating AI adoption across their solutions.

Enterprise SoftwareInsurTechSoftware
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

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

Qualification

Machine Learning PlatformsDistributed SystemsMLOps ToolsCloud PlatformsPythonContainerizationStatistical Learning AlgorithmsDeep LearningLeadershipCommunicationProblem-Solving

Required

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)
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)

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
A new in-person orientation process for all roles

Company

Guidewire Software

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Guidewire Software provides core back-end systems software to the global property, casual and worker's compensation insurance industry.

H1B Sponsorship

Guidewire Software has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (79)
2024 (80)
2023 (85)
2022 (117)
2021 (108)
2020 (148)

Funding

Current Stage
Public Company
Total Funding
$624.75M
2024-10-15Post Ipo Debt· $600M
2012-01-25IPO
2008-03-28Series C· $0.75M

Leadership Team

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Mike Rosenbaum
CEO
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Shaji Sethu
Senior Vice President and General Manager APAC
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Company data provided by crunchbase