Machine Learning Engineer 4, Intelligent Foundations and Experiences

Capital One Financial

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: New York, NYMcLean, VA
Employment: Full-time
Posted: 34 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $219k

$175k $249k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $196,000–$241,750.

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 2107 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1107 roles with salary data.

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At a glance

TL;DR · Machine Learning Engineer 4, Intelligent Foundations and Experiences

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The Machine Learning Engineer 4 - Intelligent Foundations and Experiences (IFX) 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. Key responsibilities include informing infrastructure decisions, writing and testing application code, automating deployments, and constructing optimized data pipelines. The engineer will retrain, maintain, and monitor production models while ensuring compliance with Responsible and Explainable AI best practices. Required technical skills include proficiency in Python, Java, Scala, or C++, along with experience in PyTorch, Tensorflow, Pandas, NumPy, and Scikit-learn. Candidates must also operate large-scale distributed systems like Spark and Ray, and manage containerized ML software using Kubernetes across AWS, GCP, or Azure cloud platforms.

What does a Machine Learning Engineer earn in New York?

Median $231150 from 50 postings across 20 companies.

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Skills

Python PyTorch TensorFlow Kubernetes AWS GCP Azure Spark Ray 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 automate tests and deploy ML models.
Retrain, maintain, and monitor ML models in production environments.
Build and manage cloud-based architectures and platforms to deliver optimized models at scale.
Construct optimized data pipelines to feed and support ML models.
Implement CI/CD best practices, including test automation and monitoring, for model deployment.
Ensure all code and 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 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 to prepare AI/ML data.
At least 2 years of experience deploying and operating 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).

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