Machine Learning Engineer IV

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Cambridge, MAMcLean, VARichmond, VA
Salary
$197,300–$225,100 / yr
Posted
3 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $217k
This role $211k
$170k most similar roles pay here $270k

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

Machine Learning Engineer 4 joins the Risk Tech team to develop proprietary solutions for risk management using state-of-the-art AI technology. This role involves designing, building, and deploying machine learning models and 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 to ensure they are well-governed and follow responsible AI practices. The role requires proficiency in Python, Scala, or Java, along with experience in PyTorch, TensorFlow, Pandas, NumPy, and Scikit-learn. Candidates must also utilize large-scale distributed systems like Spark or Ray, manage containerized software via Kubernetes, and operate within cloud environments such as AWS, GCP, or Azure to deliver scalable models that detect issues before they impact customers.

What does a Machine Learning Engineer earn in Virginia?

Median $211200 from 35 postings across 3 companies.

See salary data

What you'll do

  • Design, build, and deliver machine learning models and components to solve real-world business problems.
  • Make informed infrastructure decisions regarding model selection, data features, training, and hyperparameter tuning.
  • Write and test application code while automating tests and deployment processes.
  • Construct and optimize data pipelines to feed production machine learning models.
  • Retrain, maintain, and monitor models in production environments.
  • Build or leverage cloud-based architectures to deliver optimized ML models at scale.
  • Implement CI/CD best practices and monitoring to ensure successful software deployments.
  • Ensure all code follows best practices for Responsible and Explainable AI.

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 like Spark or Ray to prepare AI/ML data.
  • At least 2 years of experience deploying and operating ML solutions in production on cloud platforms (AWS, GCP, Azure) using 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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