Senior Staff ML Engineer — Lead Scalable Production AI

Capital One; McLean (VA); On-site; USD 315,000 - 359,000; Full time

Job summary

Capital One National Association seeks a Senior Staff Machine Learning Engineer to drive ML initiatives across finance-focused products in McLean, VA. You will design, implement, and scale production ML models, collaborate with product, data science, and engineering teams, and lead end-to-end ML lifecycle from data prep to inference.

The role demands deep expertise in distributed systems, cloud platforms, and modern ML frameworks, with a track record of delivering robust, scalable AI solutions

Qualifications

• Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
• At least 10 years of experience programming with Python, Java, Golang, or C++
• At least 8 years of Machine Learning experience using PyTorch or TensorFlow and libraries (Pandas, NumPy, Scikit-learn)
• At least 8 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data
• At least 8 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems

Responsibilities

• Deliver ML models and software components that solve challenging business problems in the financial services industry, working with Product, Architecture, Engineering, and Data Science 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, Scala, Java, and GoLang
• Leverage compute technologies such as Dask and RAPIDS
• Evangelize best practices in all aspects of the engineering and modeling lifecycles
• Help recruit, nurture, and retain top engineering talent

Skills

Python

Java

Golang

C++

PyTorch

TensorFlow

Pandas

NumPy

Scikit-learn

Spark

Ray

Kubernetes

AWS

GCP

Azure

Education

Bachelor's degree or higher

Master's or Doctoral degree (preferred)

Tools

Dask

RAPIDS

Spark

Ray

Job description

Capital One National Association seeks a Senior Staff Machine Learning Engineer to drive ML initiatives across finance-focused products in McLean, VA. You will design, implement, and scale production ML models, collaborate with product, data science, and engineering teams, and lead end-to-end ML lifecycle from data prep to inference.

The role demands deep expertise in distributed systems, cloud platforms, and modern ML frameworks, with a track record of delivering robust, scalable AI solutions