Applied Researcher 4 – AI Foundations

Capital One

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

Posted 10/14/2026full-timeUnited StatesJuniorMid-Level💰 $218,700 - $272,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI methodologies and deep learning model development, with a strong focus on building and optimizing large-scale AI foundation models using tools like PyTorch and cloud platforms. Proven ability to translate complex technical concepts into actionable business outcomes while managing autonomous research projects.

Highest-signal resume keywords

PhD In Relevant FieldDeep Learning Model DevelopmentAI Methodologies ExpertiseExperience With PyTorchHands-On Experience With Cloud Computing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Deep LearningTraining OptimizationSelf-Supervised LearningRobustnessExplainabilityReinforcement Learning From Human FeedbackLarge Language Model TrainingApplied ResearchModel EvaluationModel Validation

Soft Skills

CollaborationAutonomous ExecutionResearch Agenda OwnershipTechnical Communication

Tools & Technologies

PyTorchAWS UltraclustersHugging FaceLightningOpen-Source ToolsCloud Computing Platforms

Industry Keywords

AI-Powered 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 products
Leverage 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 to advance AI developments into customer experiences
Translate complex technical work into tangible business goals
Collaborate with senior researchers on internal technical reports and conference submissions
Research and evaluate emerging technologies and state-of-the-art methods
Identify impactful research problems and autonomously execute long-running 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, with the degree obtained on or before the scheduled start date; or an M.S. in those 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 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 relevant field; LLM/NLP research focus or equivalent industrial experience; publications and experience training or optimizing large language models; deep learning theory; compiler design; fine-tuning and deploying large language models
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
Reasonable accommodations for applicants with disabilities