Staff AI Engineer - Remote, High-Impact AI Systems

Capital One

Austin (TX)

A distancia

USD 245.000 - 279.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Descripción de la vacante

Capital One is seeking a Staff AI Engineer who will help build responsible and scalable AI systems used across financial products. You will collaborate with engineers, researchers, PMs, and managers to deliver AI-powered features and platforms that impact millions of customers.

You will work on foundation models, inference, agents, vector databases, and observability, leveraging tools like PyTorch, Huggingface, and AWS services.

Formación

  • Bachelor's or Master's degree with 6+ years of AI/ML development experience.
  • 8+ years programming in Python/Go/Scala/CUDA/Java.

Responsabilidades

  • Partner with cross-functional teams to deliver AI-powered products.
  • Design, develop, test, deploy, and support AI software components.
  • Leverage OSS and SaaS AI tech like AWS Ultraclusters, Huggingface, PyTorch.
  • Optimize foundation model training, inference, and governance for production.
  • Contribute to the architectural vision and long-term AI roadmap.
  • Set enterprise AI standards for tooling, observability, and deployment.
  • Design model routing, caching, and orchestration for multi-model workloads.
  • Champion responsible AI principles across system design and transparency.

Conocimientos

AI systems
Distributed systems
ML deployment
Technical leadership

Educación

Bachelor's degree in CS/AI/EE/Engineering
Master's degree in CS/AI/EE/Engineering

Herramientas

Python
Go
Scala
CUDA
Java
AWS
Huggingface
PyTorch
VectorDBs

Descripción del empleo

Capital One is seeking a Staff AI Engineer who will help build responsible and scalable AI systems used across financial products. You will collaborate with engineers, researchers, PMs, and managers to deliver AI-powered features and platforms that impact millions of customers.

You will work on foundation models, inference, agents, vector databases, and observability, leveraging tools like PyTorch, Huggingface, and AWS services.

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