Senior Machine Learning Engineer (Risk Tech, Production AI)

Capital One; Cambridge (MA); On-site; USD 140,000 - 190,000; Full time

Job summary

Capital One seeks a Machine Learning Engineer 4 in Cambridge to advance AI transformations. You will design, deploy, and monitor scalable ML models, collaborate with product and data science teams, and leverage cloud platforms for real-time decisioning.

The role emphasizes building reliable pipelines, governance, and responsible AI practices while advancing cutting-edge open source frameworks and production systems.

Qualifications

• Bachelor’s degree or higher in CS, ML, or quantitative field.
• 4+ years programming in Python, Java, Golang, or C++.
• 4+ years ML experience with PyTorch or TensorFlow and data libraries.

Responsibilities

• Design, build, and deliver ML models and components with Product and Data Science teams.
• Inform ML infrastructure choices: data, features, training, and validation.
• Write and test application code; validate ML models; automate tests and deployment.
• Collaborate in a cross-functional Agile team to enable big data and ML apps.
• Retrain, monitor, and maintain models in production.
• Leverage cloud architectures to scale ML models; build data pipelines.
• Practice CI/CD, test automation, and monitoring for reliable deployments.
• Ensure code quality and model governance; adhere to Responsible AI practices.
• Use Python, Java, Golang, or C++ in production systems.

Skills

Python

Java

Golang

C++

Education

Bachelor's Degree or higher in Computer Science, ML or related field

Tools

PyTorch

TensorFlow

Pandas

NumPy

Scikit-learn

Spark

Ray

Kubernetes

AWS

GCP

Azure

Job description

Capital One seeks a Machine Learning Engineer 4 in Cambridge to advance AI transformations. You will design, deploy, and monitor scalable ML models, collaborate with product and data science teams, and leverage cloud platforms for real-time decisioning.

The role emphasizes building reliable pipelines, governance, and responsible AI practices while advancing cutting-edge open source frameworks and production systems.