Applied AI Researcher: Foundation Models & Impact

Capital One; New York (NY); On-site; USD 239,000 - 272,000; Full time

Benefits offered by this job

Performance-based incentives

Comprehensive health benefits

Job summary

Capital One in New York, NY is seeking an Applied Researcher to join our AI Foundations team, building production-ready AI models and scalable infrastructure for customer experiences. You will partner with data scientists, software engineers and product managers, leveraging PyTorch, AWS Ultraclusters, HuggingFace, and other tools to drive impact across the research life cycle from design to deployment.

The role offers competitive compensation and incentives with opportunities to advance in NLP,

Qualifications

• PhD in CS/EE/AI or MS + 2 years applied research experience.
• Experience building and deploying large language models.
• Proven ability to deliver libraries or platform-level code.

Responsibilities

• Partner with a cross-functional team of data scientists, software engineers, ML engineers and product managers to deliver AI-powered products.
• Leverage technologies such as PyTorch, AWS Ultraclusters, HuggingFace, Lightning, VectorDBs to extract insights from large data volumes.
• Build AI foundation models from design through training, evaluation, validation and deployment.
• Engage in applied research to translate latest AI developments into customer experiences.
• Translate complex work into tangible business goals.

Skills

AI foundations

Open-source

Large language models

Model training & inference

RLHF

Education

MS or PhD in CS/EE/AI/Math

2 years applied research experience with MS

Tools

PyTorch

AWS Ultraclusters

Hugging Face

Lightning

VectorDBs

Job description

Capital One in New York, NY is seeking an Applied Researcher to join our AI Foundations team, building production-ready AI models and scalable infrastructure for customer experiences. You will partner with data scientists, software engineers and product managers, leveraging PyTorch, AWS Ultraclusters, HuggingFace, and other tools to drive impact across the research life cycle from design to deployment.

The role offers competitive compensation and incentives with opportunities to advance in NLP,