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Staff Machine Learning Engineer

Capital One • United States
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AI Summary

Advance Capital One's artificial intelligence capabilities by designing, developing, and operating production machine learning solutions. Collaborate across product, architecture, engineering, and data science to build scalable models, data pipelines, and cloud-based services. Requires a bachelor's degree or higher, at least eight years of programming experience, six years of machine learning experience, and production deployment experience.

Key Highlights
Staff-level machine learning engineering role at Capital One
Build and operate production ML models, pipelines, and cloud services
Requires 8+ years programming and 6+ years ML experience
Requires 5+ years deploying production ML and Kubernetes systems
Salary ranges provided for McLean, VA and Plano, TX

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Key Responsibilities
Design, build, and deliver machine learning models and software components for complex financial services challenges.
Collaborate with product, architecture, engineering, and data science partners to define solutions and lead large-scale initiatives.
Develop and evolve intelligent systems, selecting appropriate algorithms, frameworks, and architectures.
Use cloud technologies to deploy and scale models, optimize data pipelines, and improve production service performance and reliability.
Apply programming languages such as Python, Scala, Java, or Go and distributed or accelerated computing technologies such as Dask and RAPIDS where appropriate.
Promote sound practices across engineering, modeling, deployment, and operations.
Communicate technical decisions clearly, contribute to team culture, and support engineering talent growth.
Technical Skills Required
Python PyTorch Kubernetes

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Benefits & Perks
Comprehensive benefits program
Performance-based incentive compensation

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Nice to Have
Graduate degree
Architecting resilient, large-scale machine learning systems
Optimizing algorithms and infrastructure
Designing production data pipelines for model training and evaluation
Familiarity with supervised, semi-supervised, unsupervised, or reinforcement learning
Familiarity with common model types and architectures, training methods, and model evaluation
Strong communication skills
Technical leadership, mentoring, or contributions to the machine learning community

Job Description

About The Company

Capital One is a technology-focused financial services company where makers, builders, and problem-solvers work together to address meaningful customer and business needs. The company brings together product, engineering, architecture, and data science teams to develop and deliver innovative solutions. At Capital One, machine learning and cloud technologies help transform how financial services are designed and delivered. The organization values collaboration, inclusion, experimentation, and continuous improvement, and provides an environment where engineers can take on complex challenges and contribute to large-scale technology initiatives.

About The Role

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Job Overview
Posted Nov 06, 2026
Employment Full-time
Experience Mid-Senior level
Location United States
Category Machine Learning
Company Capital One
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