Senior Machine Learning Engineer

Capital One offers a performance based incentive compensation, including cash bonuses and long term incentives, along with health, financial and other benefits. This onsite role in McLean, VA carries a salary range of USD 161,800 - 184,600 per year.

Responsibilities

• Design, build, and deliver ML models and components that solve real world business problems, collaborating with Product and Data Science teams.
• Inform ML infrastructure decisions using knowledge of modeling techniques, data and feature selection, model training, hyperparameter tuning, dimensionality, bias and variance, and validation.
• Address complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
• Collaborate within a cross functional Agile team to create and enhance software powering state of the art big data and ML applications.
• Retrain, maintain, and monitor models in production environments.
• Leverage or build cloud based architectures, technologies, and platforms to deliver optimized ML models at scale.
• Construct optimized data pipelines to feed ML models.
• Apply continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
• Ensure all code is well managed to reduce vulnerabilities, models are well governed from a risk perspective, and the ML follows responsible and explainable AI practices.
• Program in Python, Scala, or Java.

Requirements

• Bachelor’s Degree
• At least 4 years of experience programming with Python, Scala, or Java (internship experience does not apply)
• At least 3 years of experience designing and building data intensive solutions using distributed computing
• At least 2 years of on the job experience with industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow)
• At least 1 year of experience productionizing, monitoring, and maintaining models

Technologies

• Python
• Scala
• Java
• scikit-learn
• PyTorch
• Dask
• Spark
• TensorFlow
• AWS
• Azure
• Google Cloud Platform

Benefits

• Performance-based incentive compensation (cash bonuses and/or long term incentives)
• Health, financial and other benefits