Senior Lead Machine Learning Engineer

Capital One Financial

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: McLean, VA
Salary: $229,900–$262,400 / yr
Posted: 59 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $225k

This role $246k

$175k most similar roles pay here $272k

This role pays more than 71% of similar roles. Most pay $195,150–$254,750 — the shaded band above. At the midpoint, this role pays about $246k versus about $225k for comparable roles.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 998 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 992 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Lead Machine Learning Engineer

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Senior Lead Machine Learning Engineer As part of the Customer Intelligent Decisions & Experiences team, you will join an Agile squad focused on productionizing machine learning systems at scale. You will bridge the gap between consumer personalization models and robust infrastructure to build real-time digital experiences across mobile, web, and email platforms. Your daily responsibilities include designing, building, and delivering ML models, constructing optimized data pipelines, and managing model retraining and monitoring in production environments. You will collaborate with product and data science teams to solve complex problems through automated testing and deployment. The role requires proficiency in Python, Scala, or Java, along with experience using frameworks like scikit-learn, PyTorch, Dask, Spark, or TensorFlow. You will work on Reinforcement Learning-based recommender systems to power personalized marketing and customer servicing for a large-scale card and mainstreet portfolio.

Skills

Machine Learning Python Scala Java PyTorch TensorFlow scikit-learn Spark Dask AWS Azure Google Cloud Platform Data Pipelines Distributed Computing Agile Explainable AI

What you'll do

Design, build, and deliver machine learning models and components that solve real-world business problems.
Develop and validate production-ready data pipelines to feed machine learning models.
Build and maintain scalable cloud-based architectures for deploying optimized ML models at scale.
Retrain, monitor, and maintain machine learning models in production environments.
Implement CI/CD best practices, including test automation and monitoring, for model and application deployment.
Ensure all code follows best practices for Responsible and Explainable AI while minimizing security vulnerabilities.
Write and test high-quality application code using Python, Scala, or Java.

What we're looking for

Bachelor's degree required; Master's or Doctoral degree in a related field preferred.
At least 8 years of experience designing and building data-intensive solutions using distributed computing.
At least 4 years of experience programming with Python, Scala, or Java.
At least 3 years of experience building, scaling, and optimizing machine learning systems.
At least 2 years of experience leading teams developing machine learning solutions.
At least 4 years of experience with industry-recognized ML frameworks like scikit-learn, PyTorch, Dask, Spark, or TensorFlow.
At least 3 years of experience building production-ready data pipelines and preparing data for ML models.
Experience deploying ML solutions in public clouds such as AWS, Azure, or Google Cloud Platform.

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