Machine Learning Engineer III

Capital One Financial

Confirmed live today High trust

Quick summary

Work type: On-site
Location: McLean, VARichmond, VANew York, NYPlano, TX
Employment: Full-time
Posted: 10 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $215k

$161k most similar roles pay here $274k

This listing doesn't post a salary. Most similar roles pay $187,137–$243,600.

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 1554 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 796 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Machine Learning Engineer III

Role Posting Log in to save

As a Machine Learning Engineer 3, 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 manage the full lifecycle of production models, including retraining, monitoring, and ensuring responsible AI practices. Your daily work involves constructing optimized data pipelines and leveraging cloud-based architectures to scale models effectively. The role requires proficiency in Python, Scala, or Java, along with experience in PyTorch or TensorFlow and libraries like Pandas, NumPy, and Scikit-learn. You will utilize large-scale distributed systems such as Spark or Ray to prepare data, while managing containerized software via Kubernetes across AWS, GCP, or Azure environments to solve complex problems involving big data and advanced machine learning applications.

What does a Machine Learning Engineer earn in New York?

Median $238650 from 46 postings across 16 companies.

See salary data

Skills

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

What you'll do

Design, build, and deliver machine learning models and components to solve real-world business problems.
Inform infrastructure decisions using expertise in model selection, feature engineering, hyperparameter tuning, and validation.
Write and test application code while automating tests and deployment processes for ML models.
Construct and optimize data pipelines to feed and train machine learning models at scale.
Retrain, maintain, and monitor machine learning models in production environments.
Build and manage cloud-based architectures and technologies to deliver optimized models.
Implement CI/CD best practices, including test automation and monitoring, for model deployment.
Ensure all code and models follow best practices for risk management and Responsible AI.

What we're looking for

Bachelor's Degree or higher in Computer Science, Machine Learning, or a related quantitative field.
At least 3 years of experience programming with Python, Java, Golang, or C++.
At least 2 years of Machine Learning experience using PyTorch, TensorFlow, and libraries like Pandas, NumPy, and Scikit-learn.
At least 3 years of experience using and operating large scale distributed systems such as Spark or Ray to prepare AI/ML data.
At least 1 year 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).
1+ years of experience optimizing ML algorithms, configurations, and infrastructure (preferred).
1+ years of experience following software development best practices including source control, testing, code reviews, and CI/CD (preferred).

Save