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Data Science & Generative AI Intern

Salary

$0.00528k - $0.00528k

Min Experience

2 years

Location

San Francisco, CA

JobType

internship

About the role

Who We Are Zeta, the AI-Powered Marketing Cloud, is one of the fastest growing marketing clouds in the industry with a vision to make sophisticated marketing simple. Our Zeta Marketing Platform (ZMP), is an all-in-one solution for marketing technology powered by one of the largest proprietary databases in the world with advanced artificial intelligence (AI) that activates across every marketing channel. Our clients include enterprise Fortune 500 and middle market brands – it’s our mission to empower them create better experiences for consumers that deliver better results. Summer 2025 Internship Information Real-world, hands on experience in the marketing technology industry (80% of work in internship role and 20% of internship with professional development/webinars/activities) In-Person in either New York City, San Francisco or Nashville offices (Tuesday, Wednesday, Thursday in office) June 2nd through August 9th (10 weeks) $22/hour Full Time - 40 hours per week Weekly lunches and social gatherings in office Speaker Series with subject matter experts across Zeta The Generative AI pod within Zeta Global oversees the development of a patented state-of-the-art marketing assistant, ZOE. ZOE is a multi-agent Large Language Model application with advanced architecture and ground-breaking capabilities. You will join a team of industry-leading Researchers and Machine Learning engineers to help with day-to-day R&D work. You will write production-grade code that will be added to the ZOE codebase. You may get a chance to co-author a Generative AI patent. Key Duties and Responsibilities Develop new software features as part of an industry-leading team Collaborate with other Generative AI team Participate in team meetings and brainstorming sessions. Experimentation and testing. Conduct experiments to test different LLMs and Assist in collecting, cleaning, and organizing data sets used for training LLM Document the development process, including coding, testing, and deployment procedures Qualifications Computer Science/Engineering/Physics background with hands-on experience with development of Generative AI applications (OpenAI API, AWS Bedrock, open source LLMs). At least two years of industry/academic experience using python in a shared-code environment Excellent communication skills Prior software industry experience is a major advantage Strong preference for Master’s/PhD students towards the end of the Master’s/PhD degree, with a potential to join as Full Time Employees after graduation

About the company

Zeta, the AI-Powered Marketing Cloud, is one of the fastest growing marketing clouds in the industry with a vision to make sophisticated marketing simple.

Skills

python
generative ai
machine learning