Engage, Innovate, Grow Efficiently
Senior Machine Learning Platform Engineer
Location
United States
Posted
159 days ago
Salary
$148K - $222K / year
Seniority
Senior
Job Description
Senior Machine Learning Platform Engineer
Guidewire Software
• 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.
Job 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.
- 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.
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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