Senior ML Engineer: Build & Scale Production Models

Capital One National Association; McLean (VA); On-site; USD 197,000 - 225,000; Full time

Job summary

Capital One Lead Machine Learning Engineer role in McLean, VA leads productionizing ML apps at scale. Work on ML architectures, model code, and deployment, collaborating with Product and Data Science teams to deliver end-to-end solutions.

Requires 6+ years in data-intensive distributed computing, 4+ years in Python/Scala/Java, and 2+ years building ML pipelines; experience with scikit-learn, PyTorch, Spark, or TensorFlow preferred.

Qualifications

• Bachelor's Degree and 6+ years of data-intensive distributed computing experience.
• 4+ years of programming with Python, Scala, or Java.
• 2+ years building, scaling, and optimizing ML systems.

Responsibilities

• Design, build, and deliver ML models and components with Product/Data Science teams.
• Inform infrastructure decisions with ML modeling techniques and data selection.
• Collaborate in an Agile team to enable state-of-the-art ML applications.
• Retrain, monitor, and maintain models in production.
• Leverage cloud architectures to deliver ML models at scale.
• Create optimized data pipelines for ML models.
• Follow CI/CD, testing, and governance practices for AI systems.

Skills

Python

Scala

Java

Education

Bachelor's Degree

Tools

scikit-learn

PyTorch

Spark

TensorFlow

Dask

Job description

Capital One Lead Machine Learning Engineer role in McLean, VA leads productionizing ML apps at scale. Work on ML architectures, model code, and deployment, collaborating with Product and Data Science teams to deliver end-to-end solutions.

Requires 6+ years in data-intensive distributed computing, 4+ years in Python/Scala/Java, and 2+ years building ML pipelines; experience with scikit-learn, PyTorch, Spark, or TensorFlow preferred.