Capital One

Machine Learning Engineer, People Tech, Intelligent Foundations & Experiences

Capital One

full-time

Posted on:

Location Type: Office

Location: McLeanVirginiaUnited States

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Salary

💰 $135,600 - $154,800 per year

About the role

  • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.
  • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues.
  • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
  • Collaborate as part of a cross-functional Agile team to create and enhance software.
  • Retrain, maintain, and monitor models in production.
  • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
  • Construct optimized data pipelines to feed ML models.
  • Leverage continuous integration and continuous deployment best practices to ensure successful deployment of ML models and application code.

Requirements

  • Bachelor’s Degree
  • At least 2 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
  • At least 2 years of experience programming with Python, Scala, or Java
  • At least 1 year of Machine Learning experience with an industry recognized ML framework (scikit-learn, PyTorch, Dask, Spark, or TensorFlow)
  • Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
  • 1+ years of experience working with large code bases in a team environment
  • 1+ years of experience with distributed file systems or multi-node database paradigms
  • Contributed to open source ML software
  • 1+ years of experience building production-ready data pipelines that feed ML models.
Benefits
  • Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Machine LearningPythonScalaJavascikit-learnPyTorchDaskSparkTensorFlowdata pipelines
Soft Skills
collaborationproblem solvingcommunicationAgile methodology
Certifications
Bachelor’s Degree