Capital One
Machine Learning Engineer 5 (Senior Manager, IC)
$230K–$286K
New York, NY +4 · Manager · Full-time · Posted Oct 27, 2026
- Location
- New York, NY
San Francisco, CA
McLean, VA
Cambridge, MA
San Jose, CA - Experience
- At least 6 years in programming, ML, and distributed systems; at least 4 years deploying and operating production ML and cloud services. Preferred qualifications include 5+ years in several listed areas.
- Education
- Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field; Master's or Doctoral Degree preferred.
- Visa sponsorship
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
About the job
Build, deploy, and operate production machine-learning models and scalable infrastructure that address business problems and support AI applications.
What you'll do
- Design and deliver ML models and components with Product and Data Science teams; build scalable training and serving platforms.
- Develop data pipelines, application code, testing, and deployment processes; maintain and monitor production models.
- Apply cloud architectures and responsible AI practices while collaborating on cross-functional Agile teams.
What they ask for
- Bachelor's degree or higher in Computer Science, Machine Learning, or a related quantitative field.
- At least 6 years programming with Python, Java, Golang, or C++; at least 6 years of ML experience with PyTorch or Tensorflow and libraries including Pandas, NumPy, and Scikit-learn.
- At least 6 years operating large-scale distributed systems such as Spark or Ray for AI/ML data preparation.
- At least 4 years deploying and operating production ML solutions and cloud services (AWS, GCP, Azure), using Kubernetes for large-scale containerized ML systems.
Nice to have
- Master's or Doctoral Degree in a related field; 5+ years optimizing ML algorithms, configurations, and infrastructure.
- 5+ years in software development best practices, resilient production deployments, ML methods and architectures, or production ML data pipelines; industry impact through presentations, papers, blogs, open source, or patents.
Pay
$229,900 - $262,400 USD base salary (Cambridge, MA; McLean, VA); $250,800 - $286,200 USD base salary (New York, NY; San Francisco, CA; San Jose, CA)
Tools
Python, Java, Golang, C++, PyTorch, Tensorflow, Spark, Ray
AI focus
Build, scale, deploy, and operate production ML models and platforms; apply Responsible and Explainable AI practices.
Model-written summary · the original posting is authoritative