Top Artificial Intelligence Jobs

The job involves designing a Python-based testing harness for data collection in an emissions measurement study, capturing runtime and energy metrics across AI workloads.

The role involves building AI agents, integrating APIs, owning product architecture, and collaborating with founders while developing tools for booking management.

The Principal Engineer will lead the design and delivery of core platform capabilities, focusing on scalable systems, AI application, and mentoring engineers while driving architectural decisions and improving operational systems.

As a Growth Analyst Intern, you will create AI-generated ads, optimize budgets, conduct market research, and help refine product processes.

The role involves developing AI tools, managing image generation pipelines, testing new AI models, maintaining servers, and supporting content workflows in media projects.

The AI Engineer will build data pipelines and improve ML systems for reliability in production. Responsibilities include schema design, data infrastructure, and model evaluation, ensuring high-quality outputs and integration with product workflows.

As a Founding Engineer, you'll manage the lifecycle of AI systems, optimizing performance and developing pipelines for biopharma marketing.

As a Founding AI Design Engineer, you will design visual assets and collaborate with engineers to create a platform that integrates AI with design workflows in pharma marketing.

The Staff AI/ML Engineer will design, build, and improve AI systems for document retrieval and data extraction, work with clients, and mentor team members to establish best practices.

The AI Marketing Strategist will manage client relationships, advise on digital marketing, execute projects, and implement technology solutions to enhance marketing value.

Build and improve AI/ML systems and data pipelines for a B2B SaaS platform; shape product and technical strategy; work with customers; mentor team members; ensure secure, robust, and scalable infrastructure.

The AI Director will oversee ML bot development and implementation, identify AI opportunities, educate teams, and prototype AI solutions.

Lead the end-to-end product development process, conduct market research, collaborate with cross-functional teams, and manage product roadmaps based on customer insights and analytics.