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Staff Software Engineer - ML Platform - Remote

Posted 11 weeks ago
Software Development
Full Time
NY, USA
$225000 - $250000/year

Overview

EvolutionIQ is on a mission to improve the lives of injured and disabled workers through innovative technology in the insurance space. We are seeking a highly skilled Staff Software Engineer - ML Platform to lead the architecture and deployment of our machine learning infrastructure.

In Short

  • Design and launch scalable ML and data processing systems.
  • Automate model lifecycle management for efficient updates.
  • Implement frameworks for model monitoring and feature engineering.
  • Lead model deployment through APIs for real-time integration.
  • Research and implement MLOps tools for improved efficiency.
  • Manage monitoring systems to track model performance.
  • Ensure secure data handling and compliance in ML workflows.
  • Conduct internal training on MLOps knowledge.

Requirements

  • 8+ years of software development experience in AI/ML.
  • Technical leadership experience in ML Infra/Platform teams.
  • Expertise in Python and orchestration frameworks.
  • Experience with cloud platforms, preferably GCP.
  • Bachelor’s Degree in Computer Science or related field.
  • Excellent document writing and presentation skills.
  • Creative problem-solving skills.

Benefits

  • Compensation: $225-250K plus equity.
  • Full medical, dental, and vision benefits.
  • Flexible vacation/PTO policy.
  • 100% paid parental leave.
  • Professional development budget of $1,000/year.
  • Pet-friendly office and home office stipend.
EvolutionIQ logo

EvolutionIQ

EvolutionIQ is dedicated to enhancing the lives of injured and disabled workers by facilitating their return to the workforce, ultimately saving billions in avoidable costs and lost productivity. The company aims to transform the insurance industry, making it more affordable for everyone. With significant backing from prominent investors and recognition as one of Inc.'s top workplaces, EvolutionIQ is experiencing rapid growth and is committed to hiring exceptional talent to build and scale its operations. The company values innovation and efficiency, particularly in leveraging complex data to improve its services.

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