Capital One
Machine Learning Engineer 4
$179K–$225K
Cambridge, MA +2 · Full-time · Posted Sep 22, 2026
- Location
- Cambridge, MA
McLean, VA
Richmond, VA - Experience
- 4+ years programming, 4+ years machine learning and distributed systems, and 2+ years production ML and cloud operations.
- Education
- Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field.
- Visa sponsorship
- Capital One will not sponsor a new applicant for employment authorization or offer immigration-related support for this position.
About the job
Build, deploy, and operate production machine-learning solutions and data pipelines for risk management, using cloud infrastructure and responsible AI practices.
What you'll do
- Design, build, test, deploy, retrain, and monitor ML models and components in production.
- Build cloud-based ML infrastructure and optimized data pipelines, applying CI/CD and deployment best practices.
- Collaborate with Product, Data Science, and cross-functional teams to deliver governed, secure, and explainable ML solutions.
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, and Scikit-learn.
- At least 4 years using and operating 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), using Kubernetes.
Nice to have
- Master’s or doctoral degree in a related field; experience optimizing ML algorithms, configurations, and infrastructure.
- Experience with software best practices, resilient production systems, ML techniques and architectures, data pipelines, or technical leadership; authored or co-authored an ML paper.
Pay
USD $197,300 - $225,100 base salary (Cambridge, MA); USD $197,300 - $225,100 base salary (McLean, VA); USD $179,400 - $204,700 base salary (Richmond, VA)
Tools
Python, Java, Golang, C++, PyTorch, Tensorflow, Spark, Ray
AI focus
Develop and scale production ML solutions for risk management, including model development, deployment, monitoring, and responsible and explainable AI.
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