Senior ML Engineering Leader — Scale Production AI

Capital One National Association; New York (NY); On-site; USD 250,000 - 286,000; Full time

Job summary

Capital One National Association is seeking a Senior Manager, Machine Learning Engineer in New York, NY. Lead cross-functional teams to design and deploy scalable ML models and data pipelines, ensuring governance and explainability while partnering with Product and Data Science.

Role emphasizes production systems, cloud platforms (AWS, GCP, Azure), and end-to-end ML lifecycle, with strong emphasis on security, monitoring, and iterative delivery. Remote options are not specified.

Qualifications

• Bachelor's degree or higher in Computer Science, ML or related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering).
• 6+ years of experience programming with Python, Java, Golang, or C++.
• 6+ years of machine learning experience using PyTorch or TensorFlow and libraries (Pandas, NumPy, Scikit-learn).
• 6+ years of experience using and operating large scale distributed systems (Spark, Ray).
• 4+ years of experience deploying and operating ML solutions in production and cloud; Kubernetes experience.

Responsibilities

• Design, build, and/or deliver ML models and components that solve real-world business problems in collaboration with Product and Data Science teams.
• Build and scale multi-tenant platforms for training and serving ML models at scale.
• Inform ML infrastructure decisions including model, data, feature selection, training, and validation.
• Collaborate in a cross-functional Agile team to create software for big data and ML apps.
• Retrain, maintain, and monitor models in production; ensure CI/CD and monitoring.

Skills

Python

Java

Golang

C++

PyTorch

TensorFlow

Spark

Kubernetes

Distributed systems

Education

Bachelor's Degree or higher in Computer Science, ML or related field

Master's or Doctoral degree (preferred)

Tools

Spark

Ray

Job description

Capital One National Association is seeking a Senior Manager, Machine Learning Engineer in New York, NY. Lead cross-functional teams to design and deploy scalable ML models and data pipelines, ensuring governance and explainability while partnering with Product and Data Science.

Role emphasizes production systems, cloud platforms (AWS, GCP, Azure), and end-to-end ML lifecycle, with strong emphasis on security, monitoring, and iterative delivery. Remote options are not specified.