Top AI & Machine Learning Jobs

The role involves leading AI research projects, building AI foundation models, collaborating with engineering teams, and mentoring applied scientists to enhance customer interactions through AI.

Design, build, deploy, and maintain production ML models and data pipelines at scale. Collaborate with product and data science teams, apply ML best practices, monitor model performance, and use cloud and CI/CD tooling to ensure resilient, governed, and explainable ML systems.

Lead production of machine learning applications, provide technical expertise, and mentor engineers to drive ML model delivery at scale.

The role involves leading a team to develop machine learning models for personalized customer experiences, leveraging large datasets and advanced techniques, while collaborating with cross-functional teams.

Lead the development of AI software components for Capital One, including model training, inference, and system optimization. Collaborate with cross-functional teams to deliver groundbreaking AI solutions, ensuring quality and scalability while mentoring junior team members.

The role involves developing AI foundation models, collaborating with cross-functional teams, and conducting applied research to enhance customer experiences using advanced AI techniques.

As a Principal Associate in Data Science, you'll leverage technologies to build knowledge graphs, develop modeling algorithms, and collaborate with cross-functional teams to combat fraud in customer banking.

This role involves partnering with teams to develop AI-powered technology, advancing applied research in AI, and delivering impactful models. Candidates will work on foundational models and leverage new technologies to optimize customer interactions with banking services.

Join Capital One as an Applied Researcher I to develop AI-powered products, work with diverse teams, and innovate AI methodologies focused on enhancing customer experiences.

In this role, a Data Scientist will collaborate with various teams to implement AI-driven solutions, develop machine learning models, and drive business value through data insights.