Applied Researcher – Level 4

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 AI methodologies and deep learning model development, with a strong focus on building and delivering AI-powered products. Proven ability to conduct applied research, translate complex findings into business goals, and autonomously manage research agendas.

Highest-signal resume keywords

PhD In Electrical EngineeringDeep Learning Model DevelopmentAI MethodologiesExperience With Open-Source AI ToolsTrack Record Of High-Quality Machine Learning Ideas

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Training OptimizationSelf-Supervised LearningRobustnessExplainabilityRLHFData PreparationLarge Language Model TrainingBehavioral ModelsFine-TuningControlled Experiment Design

Soft Skills

Autonomous Research Agenda ManagementCollaboration

Tools & Technologies

PyTorchAWS UltraclustersHugging FaceLightningOpen-Source Frameworks

Industry Keywords

Applied ResearchMachine LearningAI-Powered ProductsTechnical 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 numeric and textual datasets
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
Choose impactful research problems and autonomously carry out 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; degree may 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 for 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 first-author publications or projects
Ability to own and pursue a research agenda autonomously
Experience with open-source AI tools and cloud computing platforms
Ability to reproduce and extend peer-reviewed AI research using modern open-source frameworks
Experience designing controlled experiments and documenting reproducibility results
Preferred qualifications include publications, large language model training, behavioral models, optimization, fine-tuning, data preparation, and relevant open-source contributions

Benefits

Comp & perks

Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI)
Comprehensive, competitive health, financial, and other benefits supporting total well-being
Employment authorization sponsorship may be considered for a new qualified applicant
Reasonable accommodations for applicants with disabilities