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-timeSan Jose • California • United StatesMid-LevelSenior💰 $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 impactful business solutions while guiding junior researchers through experimental design.

Highest-signal resume keywords

PhD In Electrical Engineering, Computer Engineering, Computer Science, AI, MathematicsExperience In Applied ResearchExpertise In Training Optimization, Self-Supervised Learning, Robustness, Explainability, RLHFHands-On Experience Developing AI Foundation ModelsTrack Record Of Delivering Models At Scale

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Deep LearningMachine LearningAI MethodologiesModel TrainingModel EvaluationData AnalysisResearch DesignExperimental EvaluationLarge Language Model Pre-TrainingOptimization

Soft Skills

LeadershipCollaborationCommunicationProblem-SolvingMentoring

Tools & Technologies

PyTorchAWS UltraclustersHugging FaceLightningOpen-Source ToolsCloud Computing Platforms

Industry Keywords

Applied ResearchAI-Powered ProductsMachine Learning EngineeringPrototype Model DevelopmentEmerging Technologies

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 customer experiences
Translate complex technical work 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
Research and evaluate emerging technologies and state-of-the-art methods
Identify and improve impactful machine learning problems and solutions
Lead research initiatives and guide junior researchers or engineers through experimental design and evaluation

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 required degree obtained on or before the scheduled start date, plus 2 years of experience in Applied Research; or an M.S. in those 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 or improvements, demonstrated through accomplishments such as first-author publications or projects
Ability to own and pursue a research agenda, select impactful research problems, and autonomously conduct 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, NLP research experience, large language model pre-training, deep learning theory, optimization, finetuning, data preparation, compiler design, and relevant publications or open-source contributions
Proven ability to design and lead small-scale research initiatives, guiding junior researchers or engineers through experimental design and evaluation
Capital One will consider sponsoring employment authorization for a new qualified applicant

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