Capital One
Machine Learning Engineer 4
$197K–$225K
McLean, VA · Full-time · Posted Sep 22, 2026
- Experience
- At least 4 years in programming, ML, and large-scale distributed systems; at least 2 years in production ML and cloud operations. Preferred experience ranges from 1+ to 3+ years, depending on the qualification.
- 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 a related field.
- Visa sponsorship
- Capital One will not sponsor a new applicant for employment authorization or provide immigration-related support for this position.
About the job
Build, deploy, and operate production machine-learning models and infrastructure that solve business problems and scale across cloud environments.
What you'll do
- Design, build, test, deploy, retrain, and monitor machine-learning models and application code.
- Develop cloud-based ML infrastructure and data pipelines, and apply CI/CD and production-operational practices.
- Collaborate with Product, Data Science, and cross-functional Agile teams while ensuring models are governed and follow Responsible and Explainable AI practices.
What they ask for
- Bachelor's degree or higher in Computer Science, Machine Learning, or a related quantitative field.
- At least 4 years programming with Python, Java, Golang, or C++; at least 4 years of ML experience using PyTorch or Tensorflow and libraries including Pandas, NumPy, or Scikit-learn.
- At least 4 years using and operating large-scale distributed systems such as Spark or Ray to prepare AI/ML data.
- At least 2 years deploying and operating production ML solutions and cloud services (AWS, GCP, or Azure), and using Kubernetes for large-scale containerized ML systems.
Nice to have
- Master's or doctoral degree in a related field.
- Experience optimizing ML algorithms and infrastructure, applying software development and deployment best practices, building production data pipelines, or leading ML solutions; ML paper authorship is also preferred.
Pay
USD $197,300 - $225,100 base salary (McLean, VA; annual).
Tools
Python, Java, Golang, C++, PyTorch, Tensorflow, Spark, Ray
AI focus
Develop and scale production ML models; work with model selection, training, tuning, validation, monitoring, and Responsible and Explainable AI.
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