Capital One
Machine Learning Engineer 5, Senior Manager - Intelligent Foundations and Experiences (IFX)
$209K–$262K
McLean, VA +1 · Manager · Full-time · Posted Oct 29, 2026
- Location
- McLean, VA
Richmond, VA - Experience
- At least 6 years in programming, ML frameworks/libraries, and large-scale distributed systems; at least 4 years in production ML deployment, cloud services, and Kubernetes. Preferred experience includes +2 years in several AI/LLM areas and 5+ years in ML optimization, software practices, ML techniques, or data pipelines.
- Education
- Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field; preferred Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field.
- Visa sponsorship
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
About the job
Designs, builds, deploys, and operates machine learning models, infrastructure, and data pipelines at scale, including production AI systems.
What you'll do
- Build and scale ML models, platforms, and optimized data pipelines in collaboration with Product and Data Science teams.
- Deploy, retrain, maintain, and monitor production models and cloud-based ML services using testing and CI/CD practices.
- Apply responsible and explainable AI practices and ensure models and code are well-governed.
What they ask for
- Bachelor's degree or higher in Computer Science, Machine Learning, or a related quantitative field.
- At least 6 years of programming experience with Python, Java, Golang, or C++.
- At least 6 years of machine learning experience using PyTorch or Tensorflow and libraries such as Pandas, NumPy, or Scikit-learn.
- At least 6 years operating large-scale distributed systems for AI/ML data preparation, and at least 4 years deploying production ML solutions in the cloud and using Kubernetes.
Nice to have
- Master's or Doctoral Degree in a related field; experience with production RAG pipelines, agentic patterns, LLM orchestration frameworks, and model APIs.
- Experience optimizing ML systems, building resilient production software and data pipelines, and communicating technical concepts; industry impact through publications, presentations, open source, or patents.
Pay
$229,900 - $262,400 USD base salary (McLean, VA); $209,000 - $238,500 USD base salary (Richmond, VA)
Tools
Python, Java, Golang, C++, PyTorch, Tensorflow, Spark, Ray
AI focus
Production machine learning and AI systems, including model training and serving, RAG pipelines, agentic AI workflows, LLM inference, and responsible and explainable AI.
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