Senior ML Engineer: Scale Production AI Systems

Capital One Group; New York, Northern (NY, KY); Hybrid; USD 251,000 - 286,000; Full time

Job summary

Capital One is seeking a Machine Learning Engineer in New York to design, build, and deploy ML models with cross-functional teams. You will scale multi-tenant platforms for training and serving at scale, and inform ML infrastructure decisions around data, model selection, and validation.

You will retrain, monitor, and maintain production models using cloud architectures and containerized systems, ensuring robust, secure, and compliant ML solutions.

Qualifications

• Bachelor's degree in Computer Science or related quantitative field.
• 6+ years programming with Python, Java, Golang or C++.
• 6+ years ML experience using PyTorch or TensorFlow.
• 6+ years operating large-scale distributed systems (Spark, Ray).
• 4+ years deploying ML in production on AWS, GCP, or Azure with Kubernetes.

Responsibilities

• Design, build, and deliver ML models and components with Product and Data Science teams.
• Build and scale multi-tenant platforms for training and serving ML models at scale.
• Retrain, monitor, and maintain models in production using cloud-based architectures.
• Develop data pipelines and implement CI/CD, testing, and monitoring for ML software.

Skills

Python

Java

Golang

C++

PyTorch

TensorFlow

Spark

Ray

Kubernetes

AWS

GCP

Azure

CI/CD

Docker

Git

Education

Bachelor's degree in Computer Science or related quantitative field

Master's degree (preferred)

Tools

Kubernetes

Docker

CI/CD pipelines

Git

MLflow

Job description

Capital One is seeking a Machine Learning Engineer in New York to design, build, and deploy ML models with cross-functional teams. You will scale multi-tenant platforms for training and serving at scale, and inform ML infrastructure decisions around data, model selection, and validation.

You will retrain, monitor, and maintain production models using cloud architectures and containerized systems, ensuring robust, secure, and compliant ML solutions.