Capital One
Full Stack Engineer 4 - MLOps
$197K–$225K
McLean, VA · Full-time · Posted Sep 23, 2026
- Experience
- At least 4 years of software engineering experience; at least 2 years with public cloud platforms, cloud-based productivity tools, or virtualization technologies; at least 2 years building, scaling, and optimizing ML systems.
- Education
- Bachelor's Degree or higher in Computer Science or a related quantitative field.
- Visa sponsorship
- Will not sponsor a new applicant for employment authorization or offer immigration-related support.
About the job
Build and operate scalable MLOps infrastructure, production data pipelines, and model-serving systems that bring data scientists’ models into production.
What you'll do
- Own the MLOps lifecycle from research models through production microservices.
- Build and optimize data pipelines, model-serving platforms, and continuous monitoring systems.
- Develop software and lead technical delivery, coordinating engineers, product management, and cross-functional rollouts.
What they ask for
- Bachelor's Degree or higher in Computer Science or a related quantitative field.
- At least 4 years of software engineering experience; internship experience does not apply.
- At least 2 years of experience with public cloud platforms, cloud-based productivity tools, or virtualization technologies.
- At least 2 years of experience building, scaling, and optimizing ML systems.
Nice to have
- Master’s Degree in Computer Science or a related field.
- Experience with production data pipelines, ML frameworks, open-source frameworks, Agile practices, people management, or interactive AI tooling.
Pay
USD $197,300 - $225,100 annual base salary (McLean, VA)
Tools
Python, Java, Scala, AWS, Docker, Kubernetes, PyTorch, TensorFlow
AI focus
Productionize and operate machine learning models, pipelines, and serving platforms; use interactive AI tooling to accelerate productivity.
Model-written summary · the original posting is authoritative