Lead ML Engineer - Scale Production AI

Capital One National Association; New York, Northern (NY, KY); Hybrid; USD 215,000 - 246,000; Full time

Job summary

Capital One is seeking a Machine Learning Engineer 4 (Manager, IC) to design, build, and productionize ML models at scale, collaborating with Product and Data Science teams to deliver end-to-end ML solutions.

This role requires 4+ years in ML with PyTorch/TensorFlow, strong Python/Java skills, and experience with Spark/Ray, cloud platforms (AWS/GCP/Azure), and Kubernetes. A CS/ML degree is required; advanced degrees preferred.

Qualifications

• Bachelor's degree or higher in CS/ML or related quantitative field.
• 4+ years Python/Java/Golang/C++ experience.
• 4+ years ML with PyTorch or TensorFlow and Pandas/NumPy/Scikit-learn.
• 4+ years operating large-scale distributed systems (Spark/Ray).
• 2+ years deploying ML in production on AWS/GCP/Azure and using Kubernetes.

Responsibilities

• Design, build, and deliver ML models and components with Product and Data Science teams.
• Inform ML infrastructure choices, data, features, training, and validation.
• Write production-grade code and automated tests; deploy ML models.
• Collaborate in Agile teams to enable state-of-the-art ML applications.
• Retrain, monitor, and maintain models in production; ensure governance.
• Leverage cloud architectures to scale ML models; build data pipelines.

Skills

Python

Java

Golang

C++

Education

Bachelor's degree in CS/ML or related field

Master's or Doctoral degree

Tools

PyTorch

TensorFlow

Pandas

NumPy

Scikit-learn

Spark

Ray

AWS

GCP

Azure

Kubernetes

Job description

Capital One is seeking a Machine Learning Engineer 4 (Manager, IC) to design, build, and productionize ML models at scale, collaborating with Product and Data Science teams to deliver end-to-end ML solutions.

This role requires 4+ years in ML with PyTorch/TensorFlow, strong Python/Java skills, and experience with Spark/Ray, cloud platforms (AWS/GCP/Azure), and Kubernetes. A CS/ML degree is required; advanced degrees preferred.