Machine Learning Engineer IV

Capital One Financial

Confirmed live today Low trust

Quick summary

Work type
On-site
Location
Chicago, IL
Salary
$179,400–$204,700 / yr
Posted
3 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $217k
This role $192k
$170k most similar roles pay here $269k

This role pays less than 70% of similar roles. Most pay $192,050–$241,750 — the shaded band above. At the midpoint, this role pays about $192k 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.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Machine Learning Engineer IV

Machine Learning Engineer 4 joins a collaborative team to drive major AI transformations and scale production models. This role involves designing, building, and delivering machine learning components that solve real-world business problems while collaborating with Product and Data Science teams. Daily responsibilities include writing and testing application code, automating deployments, constructing optimized data pipelines, and monitoring models in production. The engineer will manage infrastructure decisions regarding model selection, feature engineering, and hyperparameter tuning while ensuring responsible and explainable AI practices. Technical requirements include proficiency in Python, Scala, or Java; experience with PyTorch, TensorFlow, Pandas, NumPy, and Scikit-learn; and operation of large-scale distributed systems like Spark and Ray. The role also requires expertise in cloud platforms such as AWS, GCP, or Azure, along with Kubernetes for managing containerized software across the enterprise.

What does a Machine Learning Engineer earn?

Median $233875 from 314 postings across 50 companies.

See salary data

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, feature selection, hyperparameter tuning, and validation techniques.
  • Write and test application code while automating tests and deployment processes for ML models.
  • Construct and optimize data pipelines to feed production-ready machine learning models.
  • Retrain, maintain, and monitor machine learning models in production environments.
  • Build and manage cloud-based architectures and technologies 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 and 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 using and operating large scale distributed systems such as Spark or Ray to prepare 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).

More like this

Similar roles

Machine Learning Engineer IV

Capital One Financial

New York, NY 2 days ago $215,200–$245,600
Python PyTorch TensorFlow Scikit-learn NumPy Pandas Spark Ray Kubernetes AWS GCP Azure Java Scala C++ CI/CD Data Pipelines Agile

Machine Learning Engineer IV

Capital One Financial

McLean, VA 2 days ago $197,300–$225,100
Python PyTorch TensorFlow Scikit-learn NumPy Pandas Spark Ray Kubernetes AWS GCP Azure CI/CD Java Scala C++ Machine Learning Data Pipelines

Machine Learning Engineer IV

Capital One Financial

McLean, VA 3 days ago $197,300–$225,100
Python PyTorch TensorFlow Scikit-learn NumPy Pandas Spark Ray Kubernetes AWS GCP Azure CI/CD Java Scala C++ Machine Learning Data Pipelines

Machine Learning Engineer IV

Capital One Financial

McLean, VA +3 2 days ago $197,300–$225,100
Python PyTorch TensorFlow Scikit-learn NumPy Pandas Spark Ray Kubernetes AWS GCP Azure Java Scala C++ CI/CD Data Pipelines Machine Learning Agile

Machine Learning Engineer IV

Capital One Financial

McLean, VA +1 2 days ago $179,400–$204,700
Python PyTorch TensorFlow Scikit-learn Pandas NumPy Spark Ray Kubernetes AWS GCP Azure Java Scala C++ CI/CD Data Pipelines Machine Learning

Machine Learning Engineer IV

Capital One Financial

McLean, VA +1 2 days ago $179,400–$204,700
Python PyTorch TensorFlow Scikit-learn Pandas NumPy Spark Ray Kubernetes AWS GCP Azure Java Scala C++ CI/CD Data Pipelines Machine Learning