Lead ML Engineer: Build Production-Ready AI at Scale

Capital One; New York (NY); On-site; USD 215,000 - 246,000; Full time

Job summary

Capital One is seeking a Lead Machine Learning Engineer (IC) to join an Agile team focused on productionizing ML applications at scale. You’ll design, develop, and implement ML solutions using Python, Scala, or Java, and work across ML engineering, data science, and operations.

The role emphasizes scalable pipelines, model governance, and responsible AI practices. The position requires 6+ years in data-intensive distributed systems, 4+ years coding in Python/Scala/Java, and experience with

Qualifications

• Bachelor’s Degree required; 6+ years in data-intensive distributed systems.
• 4+ years Python/Scala/Java; 2+ years building ML systems.
• 3+ years production-ready ML frameworks: scikit-learn, PyTorch, Spark, TensorFlow.

Responsibilities

• Design, build, and deliver ML models and components with Product and Data Science teams.
• Inform ML infra decisions, data, features, and model selections.
• Write, test, and deploy production ML code; monitor models in production.

Skills

Python

Scala

Java

Distributed computing

ML engineering

CI/CD

Education

Bachelor's Degree

Master's or Doctoral Degree

Tools

scikit-learn

PyTorch

Spark

TensorFlow

Dask

AWS

Azure

GCP

Job description

Capital One is seeking a Lead Machine Learning Engineer (IC) to join an Agile team focused on productionizing ML applications at scale. You’ll design, develop, and implement ML solutions using Python, Scala, or Java, and work across ML engineering, data science, and operations.

The role emphasizes scalable pipelines, model governance, and responsible AI practices. The position requires 6+ years in data-intensive distributed systems, 4+ years coding in Python/Scala/Java, and experience with