Senior Machine Learning Engineer

Capital One Financial

Confirmed live today High trust

Quick summary

Work type: On-site
Location: McLean, VARichmond, VANew York, NYPlano, TX
Salary: $161,800–$184,600 / yr
Posted: 3 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $220k

This role $173k

$150k most similar roles pay here $274k

This role pays less than 80% of similar roles. Most pay $184,281–$254,750 — the shaded band above. At the midpoint, this role pays about $173k versus about $220k 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 1042 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1036 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Machine Learning Engineer

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As a Senior Machine Learning Engineer, you will join an Agile team dedicated to productionizing machine learning applications and systems at scale. You will be responsible for the technical design, development, and implementation of machine learning architectures while ensuring high availability and performance. Your daily work involves building and delivering models that solve real-world business problems, constructing optimized data pipelines, and managing model retraining and monitoring in production environments. To succeed, you must utilize programming languages such as Python, Scala, or Java, alongside industry frameworks like scikit-learn, PyTorch, Dask, Spark, or TensorFlow. You will also leverage cloud-based architectures and CI/CD best practices to deploy scalable solutions. The role focuses on the technical challenge of creating robust, well-governed systems that adhere to principles of Responsible and Explainable AI within a complex data environment.

What does a Machine Learning Engineer earn in Virginia?

Median $211200 from 44 postings across 3 companies.

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Skills

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

What you'll do

Design, build, and deliver machine learning models and components that solve real-world business problems.
Develop and review high-quality application code using Python, Scala, or Java.
Construct optimized data pipelines to feed machine learning models.
Retrain, maintain, and monitor machine learning models in production environments.
Build and manage cloud-based architectures to deliver optimized ML models at scale.
Implement CI/CD best practices, including test automation and monitoring, for model deployment.
Ensure all models follow best practices for Responsible and Explainable AI.
Inform infrastructure decisions based on modeling techniques like feature selection, hyperparameter tuning, and validation.

What we're looking for

Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field (preferred).
At least 4 years of experience programming with Python, Scala, or Java.
At least 3 years of experience designing and building data-intensive solutions using distributed computing.
At least 2 years of on-the-job experience with industry recognized ML frameworks like scikit-learn, PyTorch, Dask, Spark, or TensorFlow.
At least 1 year of experience productionizing, monitoring, and maintaining models.
Experience building, scaling, and optimizing ML systems (preferred).
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform (preferred).

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