Capital One Jobs – Machine Learning Engineer

Website Capital One

Job Description:

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 participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms.

Job Responsibilities:

  • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.
  • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation).
  • Retrain, maintain, and monitor models in production.
  • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.
  • Construct optimized data pipelines to feed ML models.
  • 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.
  • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
  • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
  • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.

Job Requirements:

  • At least 1 year of Machine Learning experience with an industry recognized ML framework (scikit-learn, PyTorch, Dask, Spark, or TensorFlow)
  • Contributed to open source ML software
  • 1+ years of experience with distributed file systems or multi-node database paradigms
  • Bachelor’s degree
  • At least 2 years of experience programming with Python, Scala, or Java
  • 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
  • At least 2 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)

Job Details:

Company: Capital One

Vacancy Type: Full Time

Job Location: McLean, VA, US

Application Deadline: N/A

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