Capital One
Machine Learning Engineer 4 - Machine Learning Experiences (MLX)
$179K–$246K
San Jose, CA +5 · Full-time · Posted Oct 23, 2026
- Location
- San Jose, CA
McLean, VA
Cambridge, MA
Richmond, VA
San Francisco, CA
New York, NY - Experience
- At least 4 years in programming, ML, and distributed systems; at least 2 years in production ML and cloud operations. Preferred experience includes 3+ years in several listed areas and 1+ year as a technical lead.
- 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
- 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 at scale, collaborating with Product, Data Science, and cross-functional teams.
What you'll do
- Design, build, test, deploy, retrain, and monitor ML models and software components for business problems.
- Develop cloud-based ML infrastructure and optimized data pipelines; operate production services and distributed systems.
- Apply CI/CD, testing, governance, security, and 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 with PyTorch or Tensorflow and libraries including Pandas, NumPy, and Scikit-learn.
- At least 4 years operating large-scale distributed systems such as Spark or Ray to prepare AI or ML data.
- At least 2 years deploying and operating ML solutions in production 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 and infrastructure.
- Experience with software development best practices, resilient production systems, ML techniques and data pipelines, or technical leadership; authored/co-authored an ML paper.
Pay
$179,400 - $204,700 USD base salary (Sales Territory); $197,300 - $225,100 USD base salary (Cambridge, MA); $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, Spark, Ray
AI focus
Engineering and scaling production ML systems, including model development, deployment, monitoring, and responsible and explainable AI.
Model-written summary · the original posting is authoritative