Machine Learning Engineer V Senior Manager

Capital One Financial

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Quick summary

Work type: On-site
Location: McLean, VARichmond, VA
Salary: $229,900–$262,400 / yr
Employment: Full-time
Posted: 6 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $218k

This role $246k

$171k most similar roles pay here $272k

This role pays more than 76% of similar roles. Most pay $189,750–$246,150 — the shaded band above. At the midpoint, this role pays about $246k versus about $218k 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 936 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 933 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Machine Learning Engineer V Senior Manager

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Machine Learning Engineer 5 (Senior Manager, IC) joins the Risk Tech team to build and deploy proprietary solutions for risk management powered by state-of-the-art AI technology. This role involves designing, building, and delivering machine learning models and components to solve real-world business problems while collaborating with Product and Data Science teams. Key responsibilities include scaling multi-tenant platforms for large-scale model training and serving, constructing optimized data pipelines, and managing the full lifecycle of production models including retraining and monitoring. The candidate will work within an Agile environment using Python, Scala, or Java, alongside frameworks like PyTorch and TensorFlow, and libraries such as Pandas, NumPy, and Scikit-learn. Technical requirements include experience with Spark, Ray, Kubernetes, and cloud platforms like AWS, GCP, or Azure to manage containerized systems while ensuring responsible and explainable AI practices.

Skills

Python PyTorch TensorFlow Scikit-learn Pandas NumPy Spark Ray Kubernetes AWS GCP Azure CI/CD Java Scala C++ Machine Learning Data Pipelines

What you'll do

Design, build, and deliver machine learning models and components to solve real-world business problems.
Build and scale multi-tenant platforms for large-scale ML model training and serving.
Develop and validate application code while automating tests and deployment processes.
Construct optimized data pipelines to feed and support machine learning models.
Retrain, maintain, and monitor models in production environments.
Implement cloud-based architectures and technologies to deliver optimized models at scale.
Ensure all models follow best practices for Responsible and Explainable AI.
Utilize Python, Scala, or Java to develop high-quality software and ML solutions.

What we're looking for

Bachelor's degree or higher in Computer Science, Machine Learning, or a related quantitative field.
At least 6 years of experience programming with Python, Java, Golang, or C++.
At least 6 years of Machine Learning experience using PyTorch, TensorFlow, and libraries like Pandas, NumPy, and Scikit-learn.
At least 6 years of experience operating large scale distributed systems such as Spark or Ray to prepare AI/ML data.
At least 4 years of experience deploying ML solutions in production using cloud platforms (AWS, GCP, Azure) and Kubernetes.
Master's or doctoral degree in computer science, electrical engineering, mathematics, or a related field (preferred).
5+ years of experience optimizing ML algorithms, configurations, infrastructure, and following software development best practices (preferred).
5+ years of experience building resilient software solutions with advanced deployment techniques and monitoring (preferred).

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