Senior Manager, Machine Learning Engineering

Capital One Financial

Confirmed live 2 days ago Low trust

Quick summary

Work type
On-site
Location
McLean, VANew York, NY
Salary
$229,900–$262,400 / yr
Posted
105 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $227k
This role $246k
$174k most similar roles pay here $289k

This role pays more than 64% of similar roles. Most pay $195,337–$259,212 — the shaded band above. At the midpoint, this role pays about $246k versus about $227k 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 · Senior Manager, Machine Learning Engineering

As a Senior Manager, Machine Learning Engineering, you will join an Agile team dedicated to productionizing machine learning applications and systems at scale. You will be responsible for the technical design, development, and implementation of machine learning applications while ensuring high availability and performance. Your daily work involves building and delivering models that solve real-world business problems, constructing optimized data pipelines, and managing model retraining and monitoring in production. You will collaborate with Product and Data Science teams to develop robust software for big data applications. The role requires proficiency in Python, Scala, or Java, along with experience in frameworks like scikit-learn, PyTorch, Dask, Spark, or TensorFlow. You will also utilize cloud-based architectures and CI/CD best practices to ensure that all code is well-governed, secure, and follows principles of Responsible and Explainable AI.

What you'll do

  • Design, build, and deliver machine learning models and components that solve real-world business problems.
  • Develop and review model and application code using Python, Scala, or Java.
  • Construct optimized data pipelines to feed machine learning models.
  • Build and manage cloud-based architectures and platforms to deliver ML models at scale.
  • Retrain, maintain, and monitor machine learning models in production environments.
  • Implement CI/CD best practices, including test automation and monitoring, for model deployment.
  • Ensure all code follows best practices for Responsible and Explainable AI and risk governance.

What we're looking for

  • Bachelor's Degree in a relevant field or higher.
  • At least 8 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 3 years of experience building, scaling, and optimizing ML systems.
  • At least 2 years of experience leading teams developing ML solutions.
  • At least 4 years of people management experience.
  • Experience with machine learning frameworks such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow.
  • Experience deploying ML solutions in public clouds like AWS, Azure, or Google Cloud Platform.

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