Senior Machine Learning Engineer - Intelligent Foundations And Experiences (ifx)

Capital One

McLean, VA, US
Mclean, va: $161,800 - $184,600; plano, tx: $147,1...
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Python, scala, or java programming
Designing and building data-intensive solutions
Ml frameworks (scikit-learn, pytorch, dask, spark, tensorflow)
** Capital One is seeking a Senior Machine Learning Engineer to join their Agile team focused on the productionization of machine learning applications. The role involves collaborating with cross-functional teams to design, implement, and maintain machine learning systems at scale, utilizing various technologies and frameworks. **

Job Summary

  • As a Capital One 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: 75

** Capital One is seeking a Senior Machine Learning Engineer to join their Agile team focused on the productionization of machine learning applications. The role involves collaborating with cross-functional teams to design, implement, and maintain machine learning systems at scale, utilizing various technologies and frameworks. **

Salary

McLean, VA: $161,800 - $184,600; Plano, TX: $147,100 - $167,900; Richmond, VA: $147,100 - $167,900; Bonus/Equity: performance based incentive compensation; Benefits: comprehensive, competitive, and inclusive set of health, financial and other benefits

Skills & Requirements

Must-have

  • Python, Scala, or Java programming
  • designing and building data-intensive solutions
  • ML frameworks (scikit-learn, PyTorch, Dask, Spark, TensorFlow)
  • productionizing, monitoring, and maintaining models
  • cloud-based architectures and platforms
  • optimized data pipelines for ML models
  • CI/CD best practices and test automation

Nice-to-have

  • building, scaling, and optimizing ML systems
  • data gathering and preparation for ML models
  • developing performant, resilient, and maintainable code
  • contributed to open source ML software
  • authored/co-authored ML paper

Key Requirements

  • Bachelor’s Degree
  • 4+ years programming with Python, Scala, or Java
  • 3+ years designing and building data-intensive solutions
  • 2+ years with industry recognized ML frameworks
  • 1+ year productionizing, monitoring, and maintaining models

Work Rights

Not specified

Tailored Resume

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