Applied Researcher 4 – 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-timeSan Jose • California • United StatesJuniorMid-Level💰 $218,700 - $272,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and optimizing AI foundation models, leveraging advanced methodologies in deep learning and machine learning. Capable of translating complex research into actionable business strategies while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

PhD In Electrical EngineeringDeep Learning Model DevelopmentTraining Optimization ExpertiseHands-On Experience With PyTorchLarge Language Model Training

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI MethodologiesApplied ResearchDeep LearningSelf-Supervised LearningRobustnessExplainabilityReinforcement Learning From Human FeedbackModel EvaluationData AnalysisCloud Computing

Soft Skills

CollaborationAutonomous Research AgendaProblem IdentificationStakeholder EngagementCreative Thinking

Tools & Technologies

PyTorchAWS UltraclustersHugging FaceLightningOpen-Source Tools

Industry Keywords

Machine LearningNatural Language ProcessingAI ResearchLarge Language ModelsDeep Learning Theory

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 and advance emerging AI developments into customer experiences
Translate complex research into tangible business goals
Collaborate with senior researchers on internal technical reports or conference submissions
Research and evaluate emerging technologies and state-of-the-art methods
Identify impactful research problems and pursue an autonomous research agenda
Develop talent and challenge conventional thinking with stakeholders

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; alternatively, an M.S. in these fields plus 2 years of experience in Applied Research
Required degree must be obtained on or before the scheduled start date if currently in progress
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, NLP research experience, publications, large language model training, deep learning theory, optimization, finetuning, data preparation, and open-source AI research 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
Employment authorization sponsorship may be considered for a new qualified applicant
Reasonable accommodations for applicants requiring them