Senior AI Systems Engineer

Capital One; San Francisco (CA); On-site; USD 294,000 - 335,000; Full time

Job summary

Capital One in San Francisco is seeking a Staff AI Engineer to build responsible AI systems, partnering with engineers, researchers, technical program managers, and product managers to deliver AI-powered products that transform how customers interact with Capital One.

The role covers foundation model training, inference, guardrails, evaluation, and observability, using Open Source and SaaS tools like AWS, HuggingFace, PyTorch, and VectorDBs. Strong optimization and leadership are required.

Qualifications

• Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies; Master's degree with at least 6 years' experience.
• At least 8 years of experience programming with Python, Go, Scala, or Java

Responsibilities

• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
• Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
• Invent and introduce state-of-the-art LLM optimization techniques to improve performance, scalability, cost, latency, throughput of large-scale production AI systems.

Skills

Python

Machine Learning

C++

Team Leadership

Communication

Education

Bachelor's degree in CS/AI/EE

Master's degree in CS/AI/EE

Tools

AWS

GCP

Azure

HuggingFace

PyTorch

VectorDBs

Guardrails

Job description

Capital One in San Francisco is seeking a Staff AI Engineer to build responsible AI systems, partnering with engineers, researchers, technical program managers, and product managers to deliver AI-powered products that transform how customers interact with Capital One.

The role covers foundation model training, inference, guardrails, evaluation, and observability, using Open Source and SaaS tools like AWS, HuggingFace, PyTorch, and VectorDBs. Strong optimization and leadership are required.