Capital One
Machine Learning Engineer 4
$179K–$246K
McLean, VA +4 · Full-time · Posted Oct 27, 2026
- Location
- McLean, VA
Richmond, VA
New York, NY
Wilmington, DE
Philadelphia, PA - Experience
- At least 4 years programming; at least 4 years machine-learning experience; at least 4 years with large-scale distributed systems; at least 2 years deploying and operating production ML solutions in the cloud and using Kubernetes. Preferred experience ranges from 1+ to 3+ years, depending on the area.
- Education
- Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field; a Master's or Doctoral Degree in a related field is preferred.
- 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 systems that address business problems and scale across cloud and distributed infrastructure.
What you'll do
- Design, build, test, deploy, retrain, and monitor ML models and application code in collaboration with Product and Data Science teams.
- Develop cloud-based ML infrastructure and data pipelines, using distributed systems and CI/CD practices to deploy models at scale.
- Apply model governance, risk controls, and Responsible and Explainable AI best 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 with PyTorch or Tensorflow and libraries including Pandas, NumPy, or Scikit-learn.
- At least 4 years using and operating large-scale distributed systems to prepare ML data; at least 2 years deploying and operating production ML solutions in the cloud and using Kubernetes.
Nice to have
- Master's or Doctoral Degree in a related field.
- Experience optimizing ML algorithms and infrastructure, applying software development practices, or leading production ML solutions.
Pay
USD $197,300 - $225,100 base salary (McLean, VA); USD $215,200 - $245,600 base salary (New York, NY); USD $179,400 - $204,700 base salary (Philadelphia, PA); USD $179,400 - $204,700 base salary (Richmond, VA); USD $179,400 - $204,700 base salary (Wilmington, DE)
Tools
Python, Java, Golang, C++, PyTorch, Tensorflow, Spark, Ray
AI focus
Develop, scale, deploy, retrain, and monitor production ML models and systems; apply Responsible and Explainable AI practices.
Model-written summary · the original posting is authoritative