Staff AI Engineer: Foundation Models Lead

Capital One; New York (NY); Remote; USD 294,000 - 335,000; Full time

Job summary

Capital One is advancing responsible AI systems across banking, combining machine learning with reliable infrastructure to deliver real-time, personalized customer experiences. The IFX team partners with engineers, researchers, and product managers to build scalable AI platforms that power millions of interactions with customers and partners.

We pursue innovative model optimization, governance, and observability while embedding fairness and transparency in production systems.

Qualifications

• Bachelor's degree in CS, AI, Electrical Engineering, Computer Engineering, or related fields plus 8+ years AI/ML experience, or a Master's degree plus 6+ years AI/ML experience.
• At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java.

Responsibilities

• Deliver AI-powered products with cross-functional teams.
• Design, develop, test, deploy, and support AI software components.
• Leverage Open Source and SaaS AI technologies (AWS Ultraclusters, HuggingFace, VectorDBs, PyTorch).
• Innovate foundation model optimization techniques to improve performance and cost.
• Contribute to the technical vision and long-term roadmap of foundational AI systems.

Skills

Python

Machine learning

Go

C++

Distributed systems

Education

Bachelor's Degree in CS/AI/EE/CE

Master's Degree in CS/AI/EE/CE

Tools

AWS

CUDA

PyTorch

TensorFlow

HuggingFace

Job description

Capital One is advancing responsible AI systems across banking, combining machine learning with reliable infrastructure to deliver real-time, personalized customer experiences. The IFX team partners with engineers, researchers, and product managers to build scalable AI platforms that power millions of interactions with customers and partners.

We pursue innovative model optimization, governance, and observability while embedding fairness and transparency in production systems.