Machine Learning Engineer - Mc Lean

Requirements:

• We require a bachelors degree or higher in Computer Science, Machine Learning, or a related quantitative discipline such as Statistics, Economics, Operations Research, Analytics, Mathematics, or Engineering
• We require at least 6 years of programming experience with Python, Java, Golang, or C++
• We require at least 6 years of machine learning experience using industry-standard frameworks such as PyTorch or TensorFlow, along with libraries like Pandas, NumPy, and Scikit-learn
• We require at least 6 years of experience working with large-scale distributed systems such as Spark or Ray to prepare AI/ML data
• We require at least 4 years of experience deploying and operating machine learning solutions in production, including cloud-based production services and Kubernetes-managed, large-scale containerized ML systems

Responsibilities:

• We design, build, and deliver ML models and components that address real business challenges in partnership with Product and Data Science teams
• We build and scale large multi-tenant platforms that support training and serving ML models at significant scale
• We use our understanding of ML modeling techniques, data, and feature selection to guide infrastructure decisions
• We write and test application code, develop and validate ML models, and automate testing and deployment to solve complex problems
• We work within cross-functional Agile teams to develop and improve software for advanced big data and ML applications
• We retrain, maintain, and monitor models running in production
• We leverage or create cloud-based architectures, technologies, and platforms to deploy optimized ML models at scale
• We build efficient data pipelines that supply ML models
• We apply continuous integration and continuous delivery best practices, including test automation and monitoring, to support successful deployments
• We ensure code is well managed to reduce vulnerabilities, models are governed from a risk perspective, and ML practices align with Responsible and Explainable AI
• We use programming languages such as Python, Scala, or Java

Technologies:

• AI
• Big Data
• Cloud
• Golang
• Support
• Java
• Kubernetes
• Machine Learning
• PyTorch
• Python
• Scala
• Spark
• TensorFlow
• numpy
• pandas
• AWS
• Azure
• CI/CD
• GCP
• Model Training

More

At Capital One, we are seeking Machine Learning Engineers who are passionate about using cutting-edge open source frameworks, advanced algorithms, and emerging technologies to help drive major AI transformations and scale production models. You will join a large community of makers, breakers, doers, and disruptors in a fast-paced, collaborative, inclusive, and iterative environment focused on solving real customer needs. We offer a comprehensive, competitive, and inclusive benefits package covering health, financial, and other wellbeing needs, along with performance-based incentive compensation. This role is based in McLean, VA, with location-specific pay ranges and potential sponsorship for a new qualified applicant for employment authorization. We also maintain an equal opportunity, drug-free workplace and accept applications for a minimum of 5 business days.

last updated 43 week of 2026