Director of ML Engineering: Lead Scaled AI & Production

ITSMF; McLean (VA); On-site; USD 269,000 - 307,000; Full time

Job summary

Capital One is seeking a Director, Machine Learning Engineer in McLean, VA to lead the design, development, and deployment of advanced ML models and production services. You will collaborate with product, architecture, engineering, and data science teams to drive AI transformations and scalable AI solutions.

You will guide cloud-based ML architectures, data pipelines, and mentoring of engineers while balancing hands-on coding with strategic leadership in a fast‑paced environment.

Qualifications

• Bachelor's degree or higher in Computer Science, Machine Learning or related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
• At least 3 years of people leadership experience
• At least 8 years of experience programming with Python, Java, Golang, or C++
• At least 6 years of Machine Learning experience using PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)
• At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or ML data
• At least 5 years of experience deploying and operating ML solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems

Responsibilities

• Deliver ML models and software components that solve challenging business problems in the financial services industry, working with cross-functional teams
• Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems
• Lead large-scale ML initiatives with the customer in mind
• Leverage cloud-based architectures and technologies to deliver optimized ML models at scale
• Optimize data pipelines to feed ML models
• Use programming languages like Python, Java, Scala, or Java
• Mentor and elevate skills of peers and junior engineers
• Recruit, nurture, and retain top engineering talent

Skills

Python

Java

Scala

C++

PyTorch

TensorFlow

Spark

Ray

Kubernetes

AWS

GCP

Azure

Leadership

ML Engineer

Education

Bachelor's in CS/ML or related

Master's preferred

Tools

Docker

Airflow

Job description

Capital One is seeking a Director, Machine Learning Engineer in McLean, VA to lead the design, development, and deployment of advanced ML models and production services. You will collaborate with product, architecture, engineering, and data science teams to drive AI transformations and scalable AI solutions.

You will guide cloud-based ML architectures, data pipelines, and mentoring of engineers while balancing hands-on coding with strategic leadership in a fast‑paced environment.