✦ Luna Orbit — AI & Machine Learning

Machine Learning Engineer (People Tech, Intelligent Foundations & Experiences)

at Capital One Financial

📍 2 Locations Unknown 💰 $135K – $154K USD / year Posted March 26, 2026
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Position Details

Salary $135K – $154K USD / year
Type Not Specified
Experience mid
Exp. Years 2+ years
Education Not specified
Category AI & Machine Learning

About this role

This role involves developing and productionizing machine learning applications at Capital One, focusing on scalable models, data pipelines, and cloud deployment.

Key Responsibilities

  • Design ML models
  • Build data pipelines
  • Deploy models in cloud
  • Optimize training and validation
  • Collaborate with data science teams

Technical Overview

The candidate will work with ML frameworks like TensorFlow and PyTorch, distributed computing tools, and cloud platforms to build and deploy ML models at scale.

Ideal Candidate

The ideal candidate is a machine learning engineer with 2+ years of experience in deploying ML models, proficient in Python, Scala, or Java, and experienced with cloud platforms like AWS, Azure, or Google Cloud.

Must-Have Skills

2+ years data solutions2+ years PythonScalaor Java1+ year ML framework experience

Nice-to-Have Skills

Experience deploying ML solutions in cloudExperience with large code basesExperience with distributed computing

Tools & Platforms

AWSAzureGoogle CloudTensorFlowPyTorchDaskSpark

Required Skills

Machine LearningML engineeringPythonScalaJavaDistributed computingModel deploymentData pipelinesHyperparameter tuningModel validationCloud platforms

Hard Skills

Machine LearningML engineeringPythonScalaJavaDistributed computingModel deploymentData pipelinesModel trainingHyperparameter tuningModel validationCloud platformsAWSAzureGoogle Cloud

Soft Skills

CollaborationProblem-solvingInnovationTeamworkContinuous learning

Industry & Role

Industry Financial Services
Job Function Develop and deploy scalable machine learning solutions
Role Subtype ML Engineer
Tech Domains Python, Scala, Java, Distributed computing, Model deployment, Data pipelines, AWS, Azure, Google Cloud

Keywords for Your Resume

machine learningML engineeringPythonScalaJavadistributed computingmodel deploymentdata pipelineshyperparameter tuningmodel validationcloud platformsAWSAzureGoogle CloudML frameworksTensorFlowPyTorchDaskSparkpythonscalajava

Deal Breakers

Less than 2 years experience in data solutions, No experience with ML frameworks, Unfamiliar with cloud deployment, No experience with distributed computing

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