Top Artificial Intelligence Jobs

The AI Developer is responsible for designing and deploying AI solutions, including autonomous agents and predictive models, and integrating them into business operations.

Develop CAD automation pipelines and collaborate with teams to optimize designs for micromachines, ensuring manufacturability and functionality.

As a Policy & Risk Research Intern, you'll track updates across AI regulations, translate legal provisions for product logic, and draft materials to support strategic positioning and engagement with regulators.

The Communications Intern will support narrative intelligence, ghostwrite for the founder, and manage strategic communication channels, focusing on AI policy engagement.

The Senior Software Engineer - AI will develop and enhance software systems using AI models, and build machine learning pipelines while ensuring best practices in software engineering are implemented.

Serve as a Principal AI Strategist focusing on enterprise AI transformation, leading client engagements, solution architecture, and driving successful implementations across enterprises.

The role involves building and executing marketing activities for the US market, focusing on event management, digital marketing, and content creation.

As an AI Engineer, you will train and deploy multimodal models, design evaluation frameworks, and build systems for continuous model improvement in production.

The Account Executive will manage the full sales cycle for enterprise and scale-up accounts, building relationships with technical buyers and collaborating closely with senior leadership to drive revenue and shape sales strategies.

The Partnership Associate is responsible for building relationships with independent insurance agencies, conducting discovery calls, and supporting outreach strategies to enhance sales pipelines.

The AI Marketer/DevRel will enhance brand awareness through technical content, community engagement, and storytelling while fostering developer relations.

The Data Analyst will focus on digital consumer/patient experiences, driving measurement and insights, audience activation, and reporting using data analytics and AI solutions.

The Principal Scientist will lead AI-driven research in neurology, focusing on neurodegenerative diseases through data analysis, integration, and AI/ML methods to discover biomarkers and targets.

As a Senior Fullstack Software Engineer, you will design and build fullstack systems for AI agents, collaborating with engineering, product, and design teams while documenting findings and participating in technical discussions.

The role involves evaluating and annotating AI-generated content while ensuring cultural relevance and accuracy. It requires attention to detail and strong analytical skills.

The role involves evaluating AI outputs, generating content, providing annotations, and ensuring quality through cultural and contextual awareness.

Seeking detail-oriented reviewers for AI training projects, evaluating outputs, generating content, and ensuring cultural relevance. Requires strong analytical skills and attention to detail.

Evaluate and review AI outputs, generate or assess content, and ensure cultural relevance and accuracy in various media for AI projects.

The Staff MLOps Engineer will develop and oversee the AI/ML platform, focusing on the Synthetic Data initiative and ensuring efficient ML lifecycle management, training infrastructure, model serving, and mentoring.

The intern will run outreach campaigns, support client onboarding, draft communications, track AI implementation, and produce content, focusing on AI tools and client engagement.

The internship involves multiscale modeling focusing on physics and AI modeling. Interns will run simulations and define workflows using Python and related libraries.

Design, develop, and maintain an AI platform; optimize cloud infrastructure; integrate AI with blockchain systems; ensure security; innovate with trends.

The role involves leading AI adoption across the enterprise, implementing programs for effective use, measuring outcomes, and collaborating with teams.

Act as a founding growth operator using Hilbert to solve live B2C growth problems, identify model failure modes, translate insights into product improvements, partner with sales to convert outputs into growth strategies, and represent the product in high-stakes GTM conversations.

Design, build, and maintain production-grade AI systems and agent-based workflows; own end-to-end pipelines from experimentation to deployment and monitoring; build evaluation pipelines; collaborate with product, data, and GTM; iterate quickly under ambiguity to shape the AI stack.