Staff Applied Researcher

Capital One

. Partner with data scientists, software engineers, machine learning engineers, and product managers to deliver AI-powered products .

Posted 11/4/2026full-timeRemote • United StatesLead💰 $306,300 - $381,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI methodologies and the development of AI foundation models, leveraging tools such as PyTorch and AWS Ultraclusters. Proven ability to translate complex research into actionable business strategies while mentoring applied scientists and driving collaborative efforts across teams.

Highest-signal resume keywords

PhD In Electrical EngineeringDeep Learning Model DevelopmentAI Methodologies ExpertiseLarge Language Model TrainingApplied Research Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Foundation Model DevelopmentTraining OptimizationSelf-Supervised LearningRobustnessExplainabilityReinforcement Learning From Human FeedbackLarge Scale Model DeploymentData PreparationGraph ModelsSequential Models

Soft Skills

MentoringCollaborationStrategic Direction

Tools & Technologies

PyTorchAWS UltraclustersHugging FaceLightningGPU ClustersOpen-Source ToolsCloud Computing Platforms

Industry Keywords

Applied ResearchMachine LearningAI Research CommunityReal-Time EnvironmentsStreaming EnvironmentsMulti-Year AI/ML Research Programs

Tech Stack

Tools & technologies

AWSCloudPyTorch

About the role

Key responsibilities & impact

Partner with data scientists, software engineers, machine learning engineers, and product managers to deliver AI-powered products
Leverage PyTorch, AWS Ultraclusters, Hugging Face, Lightning, and related technologies to analyze large numeric and textual datasets
Build AI foundation models through design, training, evaluation, validation, and implementation
Conduct applied research and advance emerging AI developments into customer experiences
Translate complex research into tangible business goals
Define and steward novel research directions supporting the organization’s long-term scientific agenda
Drive strategic direction through collaboration with Applied Science, Engineering, and Product leaders
Guide and mentor applied scientists and their managers without direct people-management responsibility
Represent Capital One externally in the AI research community and collaborate with prominent faculty

Requirements

What you’ll need

PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research, OR M.S. in those fields plus 6 years of experience in Applied Research
Deep understanding of AI methodologies
Experience building large deep learning models across language, images, events, or graphs
Expertise in one or more of training optimization, self-supervised learning, robustness, explainability, or RLHF
Track record of delivering models at scale in training data and inference volumes
Experience delivering libraries, platform-level code, or solution-level code to existing products
Track record of high-quality machine-learning ideas, such as first-author publications or projects
Ability to own and pursue a research agenda and autonomously carry out long-running projects
Hands-on experience developing AI foundation models using open-source tools and cloud computing platforms
Preferred qualifications include large language model training, publications, large-scale model deployment, GPU clusters, training optimization frameworks, graph and sequential models, recommender systems, real-time and streaming environments, open-source frameworks, data preparation, and multi-year AI/ML research programs

Benefits

Comp & perks

Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI)
Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being
Employment authorization sponsorship may be considered for a new qualified applicant
Reasonable accommodations for applicants who require them