Senior Lead Machine Learning Engineer – Intelligent Foundations and Experiences

Capital One

Senior Lead Machine Learning Engineer at Capital One focused on building AI/ML capabilities for Credit and Financial Risk Management products, collaborating with cross-functional teams.

Posted 5/19/2026full-timeMcLean • Massachusetts, New York, Virginia • 🇺🇸 United StatesSenior💰 $229,900 - $286,200 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudJavaPythonScala

About the role

Key responsibilities & impact

Participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms
Focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications
Lead dedicated pods of software, data and machine learning engineers in building AI/ML capabilities
Collaborate with a cross-functional team of engineers, data scientists, and designers to develop and scale AI-powered products
Inform ML infrastructure decisions using your understanding of ML modeling techniques
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
Retrain, maintain, and monitor models in production
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale
Construct optimized data pipelines to feed ML models
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI

Requirements

What you’ll need

Bachelor’s Degree
At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
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
Master's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a similar field (preferred)
6+ years of experience designing, developing, delivering, and supporting AI services at scale (preferred)
3+ years of experience developing AI and ML algorithms or technologies using Python (preferred)
2+ years of experience with Retrieval Augmented Generation (RAG) (preferred)
Experience staying abreast of latest ML research
Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure (preferred)
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance (preferred)

Benefits

Comp & perks

comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningPythonScalaJavaML systemsAI servicesdata pipelinesRetrieval Augmented GenerationML modeling techniquesautomated testing

Soft Skills

leadershipcollaborationproblem-solvingcommunication

Certifications

Bachelor's DegreeMaster's Degree in Computer ScienceMaster's Degree in AIMaster's Degree in Electrical EngineeringMaster's Degree in Computer Engineering