Machine Learning Engineer 4

Capital One Financial

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: McLean, VACambridge, MARichmond, VA
Salary: $197,300–$225,100 / yr
Employment: Full-time
Posted: 4 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $206k

This role $211k

$176k $230k

below market most similar roles pay here above market

This role pays more than 68% of similar roles. Most pay $192,050–$219,150 — the blue band above. At the midpoint, this role pays about $211k versus about $206k 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 1917 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1045 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Machine Learning Engineer 4

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The 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 models and components to solve real-world business problems while collaborating with Product and Data Science teams. Day-to-day responsibilities include writing and testing application code, automating deployments, constructing optimized data pipelines, and monitoring models in production. The engineer must manage infrastructure decisions regarding model selection, hyperparameter tuning, and dimensionality while ensuring Responsible and Explainable AI practices. Key technologies include Python, Scala, Java, Golang, C++, PyTorch, Tensorflow, Pandas, NumPy, and Scikit-learn. Candidates must also operate large-scale distributed systems using Spark and Ray, manage containerized software with Kubernetes, and utilize cloud platforms such as AWS, GCP, or Azure.

What does a Machine Learning Engineer earn?

Median $231150 from 319 postings across 46 companies.

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Skills

Python PyTorch TensorFlow Spark Ray Kubernetes AWS GCP Azure Scala Java Golang C++ Pandas NumPy Scikit-learn CI/CD Data Pipelines Transformers RNNs CNNs LSTMs

What you'll do

Design, build, and deliver ML models and components to solve real-world business problems.
Inform ML infrastructure decisions regarding model selection, data features, training, and hyperparameter tuning.
Write and test application code to develop, validate, and automate the deployment of ML models.
Retrain, maintain, and monitor models in production environments.
Build and manage cloud-based architectures and optimized data pipelines to feed ML models at scale.
Implement CI/CD best practices, including test automation and monitoring, for ML models and application code.
Ensure all code and models follow 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 or Tensorflow and libraries like Pandas, NumPy, and Scikit-learn.
At least 4 years of experience using and operating large scale distributed systems like Spark or Ray.
At least 2 years of experience deploying and operating ML solutions in production using cloud services (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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