Applied Researcher 5, AI Foundations, LLM Core, Agentic AI

Capital One

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

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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying AI foundation models, leveraging advanced methodologies in machine learning and deep learning. Proven ability to translate complex research into actionable business outcomes while collaborating with cross-functional teams.

Highest-signal resume keywords

PhD In Electrical EngineeringDeep Learning Model DevelopmentApplied Research ExperienceAI Methodologies ExpertiseHands-On Experience With Open-Source Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningTraining OptimizationSelf-Supervised LearningRobustnessExplainabilityRLHFNLP ResearchLarge Language Model Pre-TrainingAI Foundation Models

Soft Skills

CollaborationAutonomous Project ManagementResearch Agenda Ownership

Tools & Technologies

PyTorchAWS UltraclustersHugging FaceLightningCloud Computing Platforms

Industry Keywords

Applied ResearchAIComputer ScienceElectrical EngineeringComputer EngineeringMathematicsModel DeploymentPrototype DevelopmentScientific InsightsBusiness Goals

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 other technologies to analyze numeric and textual data
Build AI foundation models through design, training, evaluation, validation, and implementation
Conduct applied research to advance AI developments into next-generation customer experiences
Translate complex research into tangible business goals
Lead cross-functional research threads bridging prototype model development and deployment with ML engineering partners
Ensure scientific insights translate into production impact

Requirements

What you’ll need

Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with the required degree obtained on or before the scheduled start date, plus 2 years of experience in Applied Research
OR M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research
Deep understanding of the foundations of AI methodologies
Experience building large deep learning models for 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 and solutions using open-source tools and cloud computing platforms
Preferred: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering, or related fields
Preferred LLM expertise, NLP research experience, publications, large language model pre-training experience, deep learning theory, optimization, compiler design, and fine-tuning experience

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
Employment authorization sponsorship may be considered for a new qualified applicant