Sr. Distinguished Machine Learning Engineer (Remote-Eligible)

Capital One Financial

Actively hiring
Remote (Mclean, Va, US) Posted 52 days ago $286,200–$326,700 / year
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At a glance

AI generated

TL;DR

As a Senior Distinguished Machine Learning Engineer at Capital One’s Consumer Engagement Platform organization, you will lead the technical strategy and roadmap for the Personalization Platform, enabling real-time personalized product experiences across all Capital One products. You will collaborate with cross-functional teams to develop advanced recommendation systems and algorithms, design scalable ML infrastructure, and build robust pipelines for feature extraction, model training, deployment, and inference. Additionally, you will architect low-latency event-driven systems for real-time decisioning and drive MLOps practices by automating metrics-backed workflows and ensuring scalable monitoring. The role requires expertise in Python, Java, C++, or Golang, proficiency with ML frameworks like PyTorch and TensorFlow, and experience with cloud platforms such as AWS, GCP, or Azure. Ideal candidates have a deep understanding of personalization systems and a passion for applying cutting-edge AI techniques to solve complex business problems at scale.

Skills

Python PyTorch TensorFlow Kubernetes Docker AWS GCP Azure Airflow Kubeflow CI/CD MLOps Databricks Prometheus PostgreSQL

What you'll do

  • Define and drive technical strategy for the Personalization Platform.
  • Develop advanced recommendation systems and algorithms with cross-functional teams.
  • Design and maintain a flexible rules engine for dynamic user segmentation.
  • Build robust ML infrastructure supporting end-to-end workflows and real-time inference.
  • Architect low-latency, event-driven systems for real-time personalization decisions.
  • Drive MLOps practices by automating deployment workflows and validation systems.
  • Provide technical leadership to influence engineering standards and platform innovation.

What we're looking for

  • At least 10 years of experience designing and building data-intensive solutions using distributed computing.
  • At least 7 years of programming experience in C, C++, Python, or Scala.
  • Extensive experience with the full ML development lifecycle in a business-critical setting.
  • Proven expertise in deploying scalable AI solutions on major cloud platforms (AWS, GCP, Azure).
  • Strong proficiency in Python, Java, C++, or Golang and hands-on experience with ML frameworks like PyTorch and TensorFlow.
  • Deep expertise in cloud-native engineering, containerization, and automated CI/CD deployment.

Market check

Salary context

This $286,200–$326,700 range sits above 97% of similar postings on FindRole.

Peer median band

$161,800–$261,850

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$177,350–$246,706

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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