Lead Machine Learning Engineer, Intelligent Foundations and Experiences

Capital One Financial

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
New York, NYMcLean, VA
Salary
$197,300–$225,100 / yr
Posted
11 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $225k
This role $211k
$174k most similar roles pay here $273k

This role pays less than 60% of similar roles. Most pay $195,787–$254,500 — the shaded band above. At the midpoint, this role pays about $211k versus about $225k 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 998 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 992 roles with salary data.

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View all roles at Capital One Financial

At a glance

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

Lead Machine Learning Engineer - Intelligent Foundations and Experiences (IFX) joins an Agile team focused on productionizing machine learning applications and systems at scale. This role involves technical design, developing model and application code, and ensuring high availability for machine learning products. The engineer will build and deliver models to solve real-world business problems, construct optimized data pipelines, and manage the retraining and monitoring of models in production. Key responsibilities include implementing continuous integration and deployment best practices while ensuring responsible and explainable AI. The role requires proficiency in Python, Scala, or Java, along with experience using frameworks like scikit-learn, PyTorch, Dask, Spark, or TensorFlow. Candidates will work on cloud-based architectures to deliver optimized models, utilizing distributed computing to solve complex problems within the machine learning infrastructure and data engineering domains.

What you'll do

  • Design, build, and deliver machine learning models and components that solve real-world business problems.
  • Develop and review high-quality model and application code using Python, Scala, or Java.
  • Construct optimized data pipelines to feed machine learning models at scale.
  • Retrain, maintain, and monitor machine learning models in production environments.
  • Build and manage cloud-based architectures to deliver optimized ML models.
  • Implement CI/CD best practices, including test automation and monitoring, for model deployment.
  • Ensure all code follows best practices for Responsible and Explainable AI.
  • Inform infrastructure decisions based on knowledge of modeling techniques like hyperparameter tuning and feature selection.

What we're looking for

  • Bachelor's degree required; Master's or Doctoral degree in a relevant field preferred.
  • At least 6 years of experience designing and building data-intensive solutions using distributed computing.
  • At least 4 years of experience programming with Python, Scala, or Java.
  • At least 2 years of experience building, scaling, and optimizing machine learning systems.
  • At least 3 years of experience with industry-recognized ML frameworks like scikit-learn, PyTorch, Dask, Spark, or TensorFlow.
  • At least 2 years of experience developing performant, resilient, and maintainable code.
  • At least 2 years of experience with data gathering and preparation for machine learning models.
  • Work authorization that require immigration support from an employer.

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