Applied Researcher 4

Capital One

. Partner with data scientists, software engineers, machine learning engineers, and product managers to deliver AI-powered banking 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 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 goals while delivering scalable machine learning solutions.

Highest-signal resume keywords

PhD In Electrical EngineeringDeep Learning Model DevelopmentExperience With PyTorchHands-On Experience With AWS UltraclustersTrack Record Of High-Quality Machine Learning Ideas

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI MethodologiesTraining OptimizationSelf-Supervised LearningRobustnessExplainabilityRLHFData PreparationFinetuningLarge Deep Learning ModelsApplied Research

Soft Skills

Autonomous Research AgendaCollaboration

Tools & Technologies

PyTorchAWS UltraclustersHugging FaceLightningOpen-Source ToolsCloud Computing Platforms

Industry Keywords

AI-Powered Banking ProductsApplied ResearchMachine LearningTechnical ReportsConference Submissions

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 banking 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 AI developments into customer experiences
Translate complex research into tangible business goals
Collaborate with senior researchers on internal technical reports or conference submissions
Choose impactful research problems and autonomously carry out 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; degree must be obtained by the scheduled start date
Alternatively, an M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 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 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 autonomously
Hands-on experience developing AI foundation models with open-source tools and cloud computing platforms
Demonstrated experience in relevant specialization areas including LLMs, behavioral models, optimization, finetuning, or data preparation
Experience with PyTorch, AWS Ultraclusters, Hugging Face, Lightning, or related open-source and cloud technologies
Capital One will consider sponsoring employment authorization for a new qualified applicant

Benefits

Comp & perks

Performance-based incentive compensation, including 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