Applied Researcher, Level 5

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💰 $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. Proven ability to lead research initiatives and collaborate effectively with cross-functional teams.

Highest-signal resume keywords

PhD In Electrical EngineeringDeep Learning Model DevelopmentAI Methodologies ExpertiseResearch LeadershipHands-On Experience With PyTorch

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Applied ResearchLarge Deep Learning ModelsTraining OptimizationSelf-Supervised LearningRobustnessExplainabilityReinforcement Learning From Human FeedbackData PreparationGeometric Deep LearningFine-Tuning

Soft Skills

CollaborationLeadershipCommunication

Tools & Technologies

PyTorchAWS UltraclustersHugging FaceLightningOpen-Source ToolsCloud Computing Platforms

Industry Keywords

AI-Powered ProductsMachine Learning EngineeringResearch InitiativesPrototype DevelopmentModel Training and Evaluation

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 large volumes of 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 bridging prototype development and deployment with ML engineering partners
Choose impactful research problems and independently pursue long-running research projects
Design and lead small-scale research initiatives, guiding junior researchers or engineers through experimental design and evaluation

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 exception that the required degree will be obtained on or before the scheduled start date, plus 2 years of experience in Applied Research
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 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 qualifications include publications, large language model training, geometric deep learning, optimization, fine-tuning, data preparation, open-source contributions, and research leadership
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position

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
Reasonable accommodations for applicants who require them