Lead Machine Learning Engineer (Enterprise Platforms Technology)
Job Description
Capital One is hiring a Lead Machine Learning Engineer in McLean, VA (onsite) with a salary range of USD 197,300 - 225,100 per year to productionize ML applications at scale, with a minimum of 2 years of relevant experience.
Responsibilities
- Design, build, and/or 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, including model choice, data and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation.
- Solve 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 for state of the art big data and ML applications.
- Retrain, maintain, and monitor models in production.
- 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 governed to reduce vulnerabilities and that models are managed from a risk perspective, aligning with Responsible and Explainable AI practices.
- Use programming languages such as Python, Scala, or Java.
Requirements
- Bachelor’s Degree
- At least 6 years of experience designing and building data intensive solutions using distributed computing (Internship experience does not apply)
- At least 4 years of experience programming with Python, Scala, or Java
- At least 2 years of experience building, scaling, and optimizing ML systems
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 that support your total well being