Senior ML Engineer - Production at Scale & Cloud

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

Job summary

Capital One is hiring a Machine Learning Engineer to join an Agile team focused on productionizing ML applications and systems at scale. You will design, develop, and implement ML solutions, review model and application code, and ensure high availability and performance of ML apps across platforms.

The role spans ML engineering, data engineering, and operations, with emphasis on building scalable data pipelines, leveraging cloud architectures, and adhering to Responsible AI practices.

Qualifications

• Bachelor's Degree required; 6+ years designing data-intensive solutions with distributed computing.
• 4+ years programming in Python/Scala/Java.
• 2+ years building, scaling, and optimizing ML systems.

Responsibilities

• Design, build, and deliver ML models and components with Product and Data Science teams.
• Inform ML infrastructure choices including model, data, and feature selection.
• Collaborate in an Agile team to enable large-scale ML apps and data pipelines.
• Retrain, monitor, and maintain models in production; ensure robust CI/CD pipelines.

Skills

Python

Scala

Java

Distributed computing

ML systems

CI/CD

AWS/Azure/GCP

Education

Bachelor's Degree

Tools

TensorFlow

PyTorch

Scikit‑learn

Spark

Dask

Job description

Capital One is hiring a Machine Learning Engineer to join an Agile team focused on productionizing ML applications and systems at scale. You will design, develop, and implement ML solutions, review model and application code, and ensure high availability and performance of ML apps across platforms.

The role spans ML engineering, data engineering, and operations, with emphasis on building scalable data pipelines, leveraging cloud architectures, and adhering to Responsible AI practices.