Senior Manager, Machine Learning

Capital One

Cambridge, MA, US
Cambridge, ma: $229,900 - $262,400; mclean, va: $2...
Hybrid
Machine learning architectural design
Develop and review model code
High availability and performance
Capital One is seeking a Senior Manager of Machine Learning to join their Agile team, focusing on the design, development, and implementation of machine learning applications. The ideal candidate will have significant experience in machine learning and software engineering, with a strong emphasis on collaboration and innovation

Job Summary

  • As a Senior Lead Machine Learning Engineer (MLE), you’ll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
  • You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications.
  • Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

Matching Summary

Match Score: 85

Capital One is seeking a Senior Manager of Machine Learning to join their Agile team, focusing on the design, development, and implementation of machine learning applications. The ideal candidate will have significant experience in machine learning and software engineering, with a strong emphasis on collaboration and innovation.

Salary

Cambridge, MA: $229,900 - $262,400; McLean, VA: $229,900 - $262,400; Richmond, VA: $209,000 - $238,500; Bonus/Equity: Performance based incentive compensation; Benefits: Comprehensive, competitive, and inclusive set of health, financial and other benefits

Skills & Requirements

Must-have

  • Machine learning architectural design
  • Develop and review model code
  • High availability and performance
  • Python, Scala, or Java programming
  • Cloud-based architectures and platforms
  • CI/CD best practices
  • Responsible and Explainable AI

Nice-to-have

  • Industry impact through presentations
  • Communicate complex technical concepts

Key Requirements

  • Bachelor’s Degree
  • 8+ years data-intensive solutions
  • 4+ years Python, Scala, or Java
  • 3+ years building ML systems
  • 2+ years leading ML teams
  • Master's or doctoral degree preferred
  • 4+ years ML framework experience
  • 3+ years performant code development
  • 3+ years data gathering and preparation
  • 3+ years people management experience
  • 3+ years production data pipelines

Work Rights

Not specified

Sponsorship: available

Tailored Resume

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