Lead Machine Learning Engineer

Capital One Financial

Actively hiring Verified listing
McLean, VA Posted 24 days ago $197,300–$225,100 / year
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At a glance

AI generated

TL;DR

As a Lead Machine Learning Engineer at Capital One, you will join an Agile team focused on scaling machine learning applications in production. Your role involves designing, building, and delivering ML models that address real-world business challenges while collaborating closely with Product and Data Science teams. You will make informed decisions about ML infrastructure by understanding modeling techniques and issues, and you’ll write and test application code to develop and validate ML models, ensuring they are well-governed from a risk perspective. Additionally, you will automate tests and deployments using continuous integration and deployment practices, manage cloud-based architectures for optimized model delivery, and construct data pipelines that feed these models efficiently. The ideal candidate has extensive experience with Python, Scala, or Java, along with expertise in ML frameworks like scikit-learn, PyTorch, Dask, Spark, or TensorFlow, and a background in building scalable ML systems.

Skills

Python Scala Java AWS Azure Google Cloud Platform scikit-learn PyTorch Dask Spark TensorFlow CI/CD Kubernetes PostgreSQL MLOps Responsible AI Explainable AI

What you'll do

  • Design and build ML models to solve real-world business problems.
  • Inform ML infrastructure decisions using knowledge of modeling techniques.
  • Write and test application code for complex problem-solving in ML.
  • Retrain, maintain, and monitor ML models in production environments.
  • Construct optimized data pipelines to feed machine learning models.

What we're looking for

  • At least 6 years of experience in designing and building data-intensive solutions using distributed computing.
  • At least 4 years of programming experience with Python, Scala, or Java.
  • At least 2 years of hands-on experience building, scaling, and optimizing ML systems.
  • Experience with industry-recognized ML frameworks such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow.
  • Ability to design, implement, and scale complex data pipelines for ML models.
  • Expertise in deploying ML solutions in public cloud environments like AWS, Azure, or Google Cloud Platform.
  • Strong background in continuous integration and deployment best practices for ML applications.

Market check

Salary context

This $197,300–$225,100 range sits above 51% of similar postings on FindRole.

Peer median band

$167,683–$258,500

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$179,493–$246,425

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

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 489 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 483 roles with salary data.

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View all roles at Capital One Financial

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