Applied Researcher 5

Capital One

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

Posted 9/18/2026full-timeMcLean • California • United StatesJuniorMid-Level💰 $262,500 - $326,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI methodologies and the development of AI foundation models, with a strong focus on delivering impactful research and translating complex concepts into business applications. Proficient in using advanced tools and technologies for building and optimizing large deep learning models.

Highest-signal resume keywords

PhD In Electrical EngineeringDeep Learning Model DevelopmentAI Methodologies ExpertiseApplied Research ExperienceHands-On Experience With PyTorch

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Deep LearningMachine LearningAI Foundation ModelsTraining OptimizationSelf-Supervised LearningRobustnessExplainabilityRLHFNLP ResearchLarge-Language-Model Training

Soft Skills

CollaborationAutonomous Research Agenda ManagementCommunication

Tools & Technologies

PyTorchAWS UltraclustersHugging FaceLightningOpen-Source ToolsCloud Computing Platforms

Industry Keywords

Applied ResearchAI-Powered ProductsCustomer ExperiencesPrototype Model DevelopmentModel Deployment

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
Use PyTorch, AWS Ultraclusters, Hugging Face, Lightning, and other technologies to analyze numeric and textual data
Build AI foundation models through design, training, evaluation, validation, and implementation
Conduct applied research and advance AI developments into customer experiences
Translate complex research into tangible business goals
Lead cross-functional research threads connecting prototype model development and deployment with ML engineering partners
Apply state-of-the-art AI research to banking products and customer experiences
Pursue impactful research problems and long-running research projects

Requirements

What you’ll need

Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with the degree obtained on or before the scheduled start date, plus 2 years of experience in Applied Research; or an M.S. in these fields plus 4 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 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 and solutions using open-source tools and cloud computing platforms
Preferred: PhD in a related technical field
Preferred: LLM experience, NLP research experience, publications, large-language-model training, deep learning theory, optimization, compiler design, and fine-tuning experience
Capital One will consider sponsoring a new qualified applicant for employment authorization

Benefits

Comp & perks

Performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI)
Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being
Equal opportunity employer committed to non-discrimination
Reasonable accommodation support
Drug-free workplace