Senior ML Engineer - AI Platform & Production

Capital One; United States; Remote; USD 230,000 - 286,000; Full time

Job summary

Capital One is seeking a Senior Machine Learning Engineer to lead ML development, deployment, and scale in a fast-paced, collaborative environment. The role spans model design, feature selection, and production-grade ML systems across cloud platforms with strong emphasis on governance and responsible AI.

You will work with Product and Data Science teams to build large-scale ML models, pipelines, and multi-tenant platforms, driving CI/CD practices and monitoring for resilient systems.

Qualifications

• Bachelor's degree or higher in Computer Science, Machine Learning or a related quantitative field
• At least 6 years of experience programming with Python, Java, Golang, or C++
• At least 6 years of Machine Learning experience using PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)
• At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data
• At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems

Responsibilities

• Design, build, and deliver ML models and components solving real-world business problems
• Build and scale massive multi-tenant platforms for training and serving ML models
• Inform ML infrastructure decisions including model, data, and feature selection; training and tuning
• 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 apps
• Retrain, maintain, and monitor models in production
• Leverage cloud architectures to deliver optimized ML models at scale
• Construct optimized data pipelines to feed ML models
• Use CI/CD, test automation, and monitoring for successful deployment
• Ensure code governance, risk considerations, and responsible/Explainable AI practices

Skills

Python

Java

Golang

C++

PyTorch

TensorFlow

Spark

Ray

Kubernetes

AWS

GCP

Azure

Education

Bachelor's degree in CS/ML or related field

Master's or Doctoral degree (preferred)

Tools

Pandas

NumPy

Scikit-learn

Docker

Job description

Capital One is seeking a Senior Machine Learning Engineer to lead ML development, deployment, and scale in a fast-paced, collaborative environment. The role spans model design, feature selection, and production-grade ML systems across cloud platforms with strong emphasis on governance and responsible AI.

You will work with Product and Data Science teams to build large-scale ML models, pipelines, and multi-tenant platforms, driving CI/CD practices and monitoring for resilient systems.