Highlights

Join Capital One's innovative Card Tech team as a Machine Learning Engineer, supporting critical initiatives for Small Business Card, Acquisitions, and Partnerships. Work on impactful projects including credit card decisioning, fraud tracking, and risk assessment.

Numbers & Facts

LocationMcLean, VA

Description

  • Current Openings
  • Veterans Program
  • Working With Indotronix
  • Referral Program

All current openings

ML Engineer

  • Location: McLean, Virginia 22102
  • Work model: On-site
  • Posted 4 weeks ago
  • Job ID: JPC - 209507

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Job Description

Job Summary: Machine Learning Engineer - Capital One (Hybrid)

[About the Role]

Join Capital One's innovative Card Tech team as a Machine Learning Engineer, supporting critical initiatives for Small Business Card, Acquisitions, and Partnerships. Work on impactful projects including credit card decisioning, fraud tracking, and risk assessment. This hybrid position (3 days onsite) is available in McLean, VA or NYC, NY. Experience rapid hiring with a single, focused interview process.

[Responsibilities]

  • Architect, train, and deploy robust machine learning models in AWS cloud environments
  • Collaborate closely with data scientists and cross-functional teams for R&D and pipeline standardization
  • Leverage Kubernetes and Kubeflow for ML pipeline design, model training, and batch model serving
  • Support integration projects across multiple enterprise groups
  • Drive innovation in credit card decisioning, fraud tracking, and risk assessment models
  • Maintain and optimize data workflows with Spark, PySpark, Pandas, and NumPy
  • Enable seamless partner application support (Kohl's, BJs, etc.)

[Required Skills and Experience]

  • Advanced proficiency in Python for ML applications
  • Deep knowledge of AWS (Solutions Architect level: ECS, EC2, etc.)
  • Strong hands-on experience with Kubernetes
  • Experience in building and deploying ML models in production environments
  • Expertise in Spark, Pandas, NumPy, and PySpark

[Preferred Skills]

  • Proficiency with Kubeflow
  • Data analysis experience using SQL
  • Familiarity with ML tooling (mlplot, Databricks)
  • AWS Solutions Architect Certification

[Benefits]

  • Accelerated interview process: One and done!
  • Collaborate with top-tier data science and engineering talent
  • High-impact projects in a leading financial institution
  • Hybrid work flexibility: McLean, VA or NYC, NY (3 days onsite)
  • Opportunities for career advancement and continuous learning

[How to Apply]

Take the next step in your ML engineering career with Capital One. Apply now to join a forward-thinking team making a tangible impact in fintech.

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Job details

Job ID JPC - 209507

Location McLean, Virginia, United States

Work Model On-site

Job Type Referral Fee

Posted September 16, 2026

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