Top AI & Machine Learning Jobs

Build and validate statistical and machine learning models for credit card loss forecasting. Partner with engineers and product managers to modernize loss forecasting, transform data, automate insights, support model governance, and communicate model risks to stakeholders and executives.

Build and validate statistical and machine learning models for credit card loss forecasting, modernization, and allowance (CCAR). Partner with data scientists, engineers, and product managers to transform data, automate insights, support model governance, and present model risk impacts to executives using cloud and big-data tools.

Lead development of machine learning and NLP solutions for operational risk analytics: partner with cross-functional teams, build end-to-end models (design, training, evaluation, validation, implementation), analyze large numeric and text datasets, deliver insights and reporting to senior leaders, and experiment with emerging generative AI techniques to improve risk management.

Build, validate, and deploy machine learning models (classification, time series, ensembles, LLMs) using big-data tools to optimize marketing campaigns and drive personalization. Partner with engineers, product managers, and marketers to operationalize models and translate insights into business impact.

Lead ML Engineer responsible for designing, building, deploying, and maintaining production ML systems and data pipelines at scale. Collaborate with product and data science teams, ensure model governance, monitoring, CI/CD, and leverage cloud-based architectures to deliver performant, explainable ML solutions.

Lead strategy and hands-on implementation for enterprise developer insights and distributed AI telemetry. Architect streaming, data engineering and ML/AI inference platforms, enforce privacy and risk controls, scale telemetry to billions of events, and mentor engineering leaders to translate AI telemetry into measurable business outcomes.

The Senior Associate, Data Scientist will partner with cross-functional teams to identify risks associated with models and validate machine learning models across the enterprise, enhancing decision-making while ensuring model governance and risk management.

The role involves designing, developing, and optimizing AI software components, collaborating with cross-functional teams, and contributing to the technical vision of AI systems at Capital One.

Partner with teams to deliver AI-powered products, build foundation models, and conduct applied research to enhance customer experiences.

As a Sr. Distinguished Engineer at Capital One, you will lead AI/ML engineering teams, design and build ML applications, mentor engineers, and drive technology innovations in machine learning.