Top Artificial Intelligence Jobs

As the first Product Designer, you'll create intuitive, user-friendly experiences while leveraging AI for design processes. Collaborate with cross-functional teams and evolve design systems to enhance user access to financial products.

The Senior Principal Engineer leads AI applied research, developing solutions for complex problems in Logic IP design and semiconductor manufacturing, mentoring teams, and influencing organizational technical strategies.

The Staff AI Engineer will lead AI automation initiatives, build and manage agent workflows, mentor teams, and ensure systems are robust and responsible.

The Senior Data Scientist will lead use cases for AI/ML solutions, collaborate with teams, and drive innovative solutions for business challenges.

Lead the development of machine learning models for advanced AI-native manufacturing systems. Focus on integrating physical data with physics-based simulations for control and autonomy in metal additive manufacturing.

Lead integration of AI-generated applications with backend layers, design CI/CD strategies, mentor engineering teams, and ensure system reliability in production.

Design, build, and scale AI/ML solutions for research and insights products. Lead experiments and manage model deployment in production environments.

The role involves deep troubleshooting, root cause analysis, and architectural optimization in the Data and AI ecosystem to enhance platform reliability and supportability.

Lead the strategy and execution of PayPal's AI/ML modeling platform, driving product development and collaborating with engineering and stakeholders to enhance decision-making capabilities.

The Director will lead AI-driven automation within Finance Technology, overseeing a global AI/ML Center of Excellence, developing strategies and solutions for finance processes, and driving digital transformation effort.

As a Solutions Architect, you will guide customers in integrating AI coding tools into their workflows, design AI-enhanced development processes, and collaborate cross-functionally to advocate for customer needs while ensuring successful product deployments.

The Operations Program Manager leads hardware introductions and production ramps, ensuring timely execution, quality, and cost-effectiveness while coordinating cross-functional teams.

Design and deploy infrastructure to support AI models, ensuring secure and compliant systems while maintaining reliability and performance at scale.

The Senior Software Engineer will develop AI-driven applications, focusing on machine learning and integration of LLMs to enhance aerospace systems. Responsibilities include coding, testing, and deployment, along with collaborating on AI integration and optimization.

As a Research Engineer, you will build AI systems for scientific discovery, focusing on machine learning systems and collaborating with researchers.

The Staff Software Engineer will design and develop scalable cloud services, focusing on AI infrastructure, with hands-on system architecture, mentoring, and engineering culture shaping responsibilities.

As an Applied AI Engineer, you will develop and manage full-stack AI projects, build AI infrastructure, and enhance engineering processes to scale solutions at Ramp.

The Capture Manager will drive the market for Agentic AI in defense, manage customer relationships, and develop business models, combining skills in capture management and tech savvy in AI.

You'll lead the development of AI-driven systems for a dating platform, focusing on personalized matching algorithms and voice interactions. Responsibilities include designing ML pipelines, deploying models, and conducting experiments to improve user experience.

As a Principal Engineer for AI Systems, you will lead AI implementation and integration across the organization, ensuring compliance, enhancing workflows, and managing AI technology platforms while collaborating with various teams to drive efficiency and support AI adoption.

You will research AI technologies, develop, test, and maintain software, improve ML processes, and architect scalable systems for AI applications.

Machine Learning Systems Engineers will develop end-to-end 3D machine learning systems, optimize training pipelines, and improve model performance within a collaborative team.

Develop and implement advanced AI solutions; ensure security in development; lead full-stack development; manage AI CI/CD pipelines; collaborate with teams to align solutions with business goals.

Vellum is seeking an AI Product Engineer to develop coding agents and AI systems, facilitating faster workflows for various teams and redefining work methods. You will work closely with a high-performance team in building innovative tools.

Guide customers in deploying and optimizing DatologyAI's platform across various environments, ensuring technical success while collaborating with Sales and Engineering.