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, etc.
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.

Requirements

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies
At least 4 years of experience programming with Python, Go, Scala, or Java

Benefits

Comprehensive, competitive, and inclusive set of health benefits
Financial benefits
Flexible work arrangements

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI algorithmsML algorithmsfoundation model traininglarge language model inferencesimilarity searchmodel evaluationexperimentationgovernanceobservabilityprogramming (Python, Go, Scala, Java)

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in AIBachelor's degree in Electrical EngineeringBachelor's degree in Computer EngineeringMaster's degree in Computer ScienceMaster's degree in AIMaster's degree in Electrical EngineeringMaster's degree in Computer Engineering