Senior ML Engineer: Scalable AI in Production

Capital One; Cambridge (MA); On-site; USD 197,000 - 225,000; Full time

Job summary

Capital One seeks a Machine Learning Engineer to design, build, and productionize ML models at scale in a fast-paced, collaborative environment. You will work with Product and Data Science teams to deliver robust AI solutions across cloud stacks and big data platforms.

The role emphasizes production-ready ML, model retraining and monitoring, and building data pipelines with CI/CD practices. Based in Cambridge, MA, the position offers a competitive salary and growth opportunities in a diverse

Qualifications

• Bachelor's degree or higher in CS, ML, or related quantitative field.
• At least 4 years programming with Python, Java, Golang or C++.
• At least 4 years ML experience with PyTorch or TensorFlow and libraries (Pandas, NumPy, Scikit-learn).
• At least 4 years operating large-scale distributed systems (Spark, Ray).
• At least 2 years deploying ML in production on cloud and using Kubernetes.

Responsibilities

• Design, build, and deliver ML models and components solving real-world problems in collaboration with Product and Data Science teams.
• Inform ML infrastructure decisions, including model choice, data, features, training and validation.
• Write and test application code, develop and validate ML models, and automate tests and deployment.
• Collaborate in a cross-functional Agile team to create software for big data and ML applications.
• Retrain, monitor, and maintain models in production; build data pipelines for ML.

Skills

Python

Java

Golang

C++

Education

Bachelor's degree or higher in CS/ML or related quantitative field

Tools

Spark

Ray

Kubernetes

AWS

GCP

Azure

Job description

Capital One seeks a Machine Learning Engineer to design, build, and productionize ML models at scale in a fast-paced, collaborative environment. You will work with Product and Data Science teams to deliver robust AI solutions across cloud stacks and big data platforms.

The role emphasizes production-ready ML, model retraining and monitoring, and building data pipelines with CI/CD practices. Based in Cambridge, MA, the position offers a competitive salary and growth opportunities in a diverse