Top Artificial Intelligence Jobs

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

As an AI Product Specialist, you'll drive market expansion and customer engagement by defining strategies for AI product growth, conducting market analyses, and supporting sales teams. You'll leverage AI expertise and guide product development and competitive positioning while collaborating across teams to enhance Kensho's AI solutions.

As a Senior AI/ML Scientist, you'll integrate AI/ML into engineering tools, develop predictive models, analyze data, collaborate with teams, and establish best practices in a hybrid role.

As an AI Product Specialist, you will define strategies for market expansion and revenue growth of AI-powered solutions, integrating technical understanding with market leadership.

As a Systems Architect, you'll define and drive the infrastructure architecture for AI/ML workloads, design multi-cloud strategies, manage compute orchestration and storage systems, and lead capacity planning, while also collaborating with engineering leadership.

As a Senior Machine Learning Engineer, you will manage the entire lifecycle of safety-critical ML perception models, optimize performance, and ensure reliable deployment on embedded systems.

As a Staff AI/ML Engineer, you'll enhance developer productivity, mentor engineers, drive best practices, and implement scalable solutions for AV tools and services.

The role involves designing and deploying AI systems for clinical operations, developing models for decision-making, and ensuring AI implementation aligns with data governance standards. Responsibilities include collaborating across teams, enhancing operational efficiency, and advancing AI applications in a regulated environment.

The role involves building and evolving AI agent systems, implementing advanced AI algorithms, collaborating with teams, and mentoring junior engineers.

The Chief of Staff partners with the SVP/GM to oversee initiatives, drive alignment across functions, and manage special projects related to AI and employee experience.

The AI-Forward IT Support Engineer leads the support team, manages Microsoft environment, utilizes AI tools for solutions, and aids employees in using AI resources.

As a Senior ML Engineer, you'll design and deploy advanced machine learning systems for autonomous vehicles, ensuring real-time performance and robustness in diverse conditions. You'll lead technical projects, mentor engineers, and collaborate across teams to enhance onboard capabilities.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

As an Applied Researcher II, you will create AI systems for banking, working with cross-functional teams to develop and implement AI-powered products, while conducting applied research and engaging with emerging technologies.

The Lead AI Engineer will develop AI software components, partner with cross-functional teams, and optimize large-scale AI systems at Capital One.

Lead AI engineering teams to develop and deploy AI-powered products. Oversee AI software development, partner with cross-functional teams, and drive innovation in banking AI solutions.

Design, build, deploy, and maintain production machine learning models and pipelines at scale. Collaborate in cross-functional Agile teams to architect ML systems, automate testing and CI/CD, monitor model performance, and apply responsible and explainable AI practices. Leverage cloud platforms and distributed computing to optimize model training and serving.

Lead a team to deliver AI powered products, leveraging machine learning and NLP for customer applications, while collaborating with cross-functional teams.

The role involves partnering with a team to deliver AI products, utilizing various technologies and conducting applied research to enhance customer experiences leveraging AI.

The AI Data Scientist Sr designs and implements AI/ML solutions, collaborates with stakeholders, processes complex datasets, and optimizes business outcomes through data-driven analytics.

As a Senior Lead AI Engineer, you will design and deploy AI software components, innovate LLM optimization techniques, and collaborate with cross-functional teams to enhance banking experiences at Capital One.

This role involves leading the development of AI-powered products, optimizing large scale AI systems, and mentoring cross-functional teams. It focuses on designing and deploying AI components, contributing to the technical vision, and applying cutting-edge AI techniques.

The Lead AI Engineer will develop and support AI software components, collaborate with cross-functional teams, and optimize large language models for performance and scalability.

The Principal AI Engineer will design AI-powered workflows, partner with stakeholders, and build production-level systems in a cross-functional environment.

Lead enterprise AI tooling lifecycle and company-wide AI learning programs. Manage procurement, deployment, governance, adoption metrics, and change management while partnering with Security, Privacy, Legal, and IT to operationalize responsible AI and scale tooling across the organization.