Machine Learning Engineer IV

Capital One Financial

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: McLean, VA
Salary: $197,300–$225,100 / yr
Posted: 3 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $217k

This role $211k

$170k most similar roles pay here $269k

This role pays more than 50% of similar roles. Most pay $192,050–$241,750 — the shaded band above. At the midpoint, this role pays about $211k versus about $217k 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 836 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 829 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Machine Learning Engineer IV

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As a Machine Learning Engineer 4, you will join a collaborative team to design, build, and deliver machine learning models and components that solve real-world business problems. You will work within an Agile framework to develop application code, automate tests and deployments, and construct optimized data pipelines to feed production models. Your daily responsibilities include retraining, monitoring, and managing model governance while ensuring responsible and explainable AI practices. The role requires expertise in Python, Scala, or Java, along with experience using PyTorch, TensorFlow, Pandas, NumPy, and Scikit-learn. You will also utilize large-scale distributed systems like Spark and Ray to prepare data, while deploying containerized solutions via Kubernetes on cloud platforms such as AWS, GCP, or Azure. This role focuses on scaling production models and implementing advanced architectures like RNNs, CNNs, LSTMs, and Transformers.

What does a Machine Learning Engineer earn in Virginia?

Median $211200 from 35 postings across 3 companies.

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Skills

Python PyTorch TensorFlow Scikit-learn NumPy Pandas 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.
Inform infrastructure decisions based on model training, hyperparameter tuning, feature selection, and validation techniques.
Write and test application code while automating tests and deployment processes for ML models.
Construct and optimize data pipelines to feed and support large-scale machine learning models.
Retrain, maintain, and monitor machine learning models in production environments.
Build and manage cloud-based architectures to deliver optimized models at scale.
Implement CI/CD best practices and automated monitoring to ensure successful software deployment.
Ensure all code follows best practices for responsible, explainable AI and risk governance.

What we're looking for

Bachelor's degree or higher in Computer Science, Machine Learning, or a related quantitative field.
At least 4 years of experience programming with Python, Java, Golang, or C++.
At least 4 years of Machine Learning experience using PyTorch, TensorFlow, and libraries like Pandas, NumPy, and Scikit-learn.
At least 4 years of experience operating large scale distributed systems such as Spark or Ray to prepare AI/ML data.
At least 2 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).
3+ years of experience optimizing ML algorithms, configurations, and infrastructure (preferred).
3+ years of experience following software development best practices including source control, testing, code reviews, and CI/CD (preferred).

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