Capital One
Machine Learning Engineer 4 - Machine Learning Foundations (MLX)
$179K–$246K
San Jose, CA +4 · Full-time · Posted Oct 23, 2026
- Location
- San Jose, CA
McLean, VA
Richmond, VA
San Francisco, CA
New York, NY - 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 area.
- Education
- Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field; preferred Master's or Doctoral Degree in a related field.
- Visa sponsorship
- Will not sponsor a new applicant for employment authorization or provide immigration-related support for this position.
About the job
Build, deploy, and operate scalable production machine-learning models, infrastructure, and data pipelines for business applications.
What you'll do
- Develop, validate, retrain, monitor, and maintain ML models and production services.
- Build scalable cloud-based ML infrastructure and optimized data pipelines; automate testing and deployment.
- Collaborate with Product, Data Science, and cross-functional Agile teams, applying 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 machine-learning experience with PyTorch or Tensorflow and libraries including Pandas, NumPy, and Scikit-learn.
- At least 4 years operating large-scale distributed systems for AI/ML data preparation, and at least 2 years deploying ML in production and operating cloud services with Kubernetes.
Nice to have
- Master's or Doctoral Degree in a related field.
- Experience optimizing ML systems, production software practices, resilient deployments, data pipelines, or technical leadership; ML publication experience is also preferred.
Pay
$179,400 - $204,700 USD base salary (Sales Territory); $197,300 - $225,100 USD base salary (McLean, VA); $215,200 - $245,600 USD base salary (New York, NY); $179,400 - $204,700 USD base salary (Richmond, VA); $215,200 - $245,600 USD base salary (San Jose, CA)
Tools
Python, Java, Golang, C++, PyTorch, Tensorflow, Pandas, NumPy
AI focus
Develop and scale production ML models and infrastructure, including responsible and explainable AI practices.
Model-written summary · the original posting is authoritative