Machine Learning Engineer V

Capital One Financial

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Quick summary

Work type: On-site
Location: McLean, VASan Francisco, CASan Jose, CARichmond, VANew York, NY
Salary: $229,900–$262,400 / yr
Employment: Full-time
Posted: 5 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $219k

This role $246k

$175k most similar roles pay here $272k

This role pays more than 82% of similar roles. Most pay $192,050–$246,150 — the shaded band above. At the midpoint, this role pays about $246k versus about $219k 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 936 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 933 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Machine Learning Engineer V

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As a Machine Learning Engineer 5 (IC), you will join a collaborative team to drive major AI transformations and scale production models. You will design, build, and deliver machine learning components that solve real-world business problems while collaborating with Product and Data Science teams. Your daily responsibilities include building multi-tenant platforms for large-scale model training and serving, constructing optimized data pipelines, and managing the full lifecycle of model retraining, monitoring, and governance. You will work within an Agile framework to develop software for big data applications using Python, Scala, or Java. The role requires expertise in PyTorch, TensorFlow, Pandas, NumPy, and Scikit-learn, alongside experience with Spark, Ray, Kubernetes, and cloud platforms like AWS, GCP, or Azure. You will apply advanced techniques including supervised learning, reinforcement learning, and various architectures like CNNs, LSTMs, and Transformers.

What does a Machine Learning Engineer earn in Virginia?

Median $211200 from 41 postings across 3 companies.

See salary data

Skills

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

What you'll do

Design, build, and deliver machine learning models and components that solve real-world business problems.
Build and scale multi-tenant platforms for large-scale ML model training and serving.
Develop and validate application code while automating tests and deployment processes.
Construct optimized data pipelines to feed and support machine learning models.
Retrain, maintain, and monitor models in production environments.
Implement cloud-based architectures and technologies to deliver optimized models at scale.
Ensure all models follow 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 6 years of experience programming with Python, Java, Golang, or C++.
At least 6 years of Machine Learning experience using PyTorch, TensorFlow, and libraries like Pandas, NumPy, and Scikit-learn.
At least 6 years of experience operating large scale distributed systems such as Spark or Ray to prepare AI/ML data.
At least 4 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).
5+ years of experience optimizing ML algorithms, configurations, and infrastructure (preferred).
5+ years of experience following software development best practices including source control, testing, code reviews, and CI/CD (preferred).

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