AI Engineer Intern - Core AI

AI Engineer Intern - Core AIZeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform powered by one of the industry's largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. The intern will join the Core AI Pod within Zeta Engineering, working alongside engineers and data scientists who build and scale Zeta Global's AI-driven marketing platform. In this role, the intern will support the development of core machine learning and data infrastructure that powers client solutions across the company. This internship provides hands-on experience contributing to high-impact technology that supports Zeta Global's enterprise products and business goals. Summer 2026 Internship Information Real-world, hands-on experience in the marketing technology industry (85% of work in internship role and 15% of internship with professional development/webinars/activities) Hybrid in our San Francisco office (Tuesday, Wednesday, Thursday in office) June 16th through Late August $23.00/hour Full-time - 40 hours per week Weekly lunches and social gatherings in office Speaker Series with subject matter experts across Zeta Global Key Duties & Responsibilities Assist in designing, training, and evaluating LLMs for core platform use cases. Build and maintain data and ML pipelines, including data preprocessing, feature engineering, and model deployment support. Run experiments, analyze results, and document findings to guide model and system improvements. Help monitor model performance in production and propose fixes or optimizations when issues arise. Contribute to technical documentation, code reviews, and collaboration with cross-functional teams (e.g., data, product, engineering). Qualifications Graduate students preferred. Computer Science/Math/Physics/Engineering degree or pursuit or degree preferred Prior work experience or exposure in a similar position People & Culture at Zeta Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual's sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression. We're committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here.