Machine Learning Platform - Lead Engineer

The Allstate Corporation

Base: $110,000.00 - $160,000.00 annually; bonus/eq...
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Machine learning platform architecture
Mlops automation and ci/cd
Cloud-native infrastructure engineering
** The Allstate Corporation is seeking a Machine Learning Platform Lead Engineer to architect and enhance their core ML platforms. The ideal candidate will have extensive experience in ML engineering and platform development, while being hands-on and capable of leading technical initiatives. **

Job Summary

  • This role involves architecting and scaling core platforms that power enterprise-wide machine learning solutions at Allstate.
  • The successful candidate will drive architectural decisions for distributed systems and automated MLOps workflows supporting large-scale ML initiatives.
  • Allstate offers a competitive base compensation ranging from $110,000 to $160,000 annually plus potential incentive pay.

Matching Summary

Match Score: 75

** The Allstate Corporation is seeking a Machine Learning Platform Lead Engineer to architect and enhance their core ML platforms. The ideal candidate will have extensive experience in ML engineering and platform development, while being hands-on and capable of leading technical initiatives. **

Salary

Base: $110,000.00 - $160,000.00 annually; Bonus/Equity: Incentive pay (commission, bonus) as applicable; Benefits: Not specified

Skills & Requirements

Must-have

  • Machine Learning Platform Architecture
  • MLOps Automation and CI/CD
  • Cloud-Native Infrastructure Engineering
  • Kubernetes and Containerization
  • Python Backend Development
  • Model Lifecycle Management

Nice-to-have

  • Technical Mentorship and Leadership
  • Cross-Team Collaboration Skills
  • Security and Compliance Integration
  • Cost Optimization Best Practices

Key Requirements

  • 6+ years of experience in ML engineering or platform engineering
  • Deep hands-on expertise with MLOps tools and frameworks
  • Strong proficiency in Python and backend development
  • Experience with Azure, AWS, or GCP cloud platforms
  • Knowledge of Kubernetes, Docker, and Terraform

Work Rights

Not specified

Tailored Resume

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