AI/ML Research Intern — Summer 2027

Gallup • San Francisco, CA

1d • $45 - $50 • Hybrid

About The Position

As an AI/ML research intern at Gallup, you’ll investigate important technical questions at the intersection of artificial intelligence, machine learning and behavioral science. Working alongside AI researchers and engineers, you’ll design experiments, evaluate new models and methods, build prototypes, and help determine which emerging AI approaches are worth applying to Gallup’s products and AI systems. You’ll work in a unique environment where Gallup’s behavioral science, proprietary data and decades of research meet rapidly advancing AI technology. Your work will influence real systems designed to help people and organizations make better decisions.

Requirements

• Enrollment in a bachelor’s or graduate degree program in computer science, data science, machine learning or a related quantitative field required
• Programming experience relevant to machine learning or data science, including Python, required
• Hands-on experience building, training, evaluating or experimenting with machine learning or AI systems through research, coursework or substantial independent projects required
• Enrollment at a college or university within an 80-mile radius of San Francisco, California, required
• Availability to work 40 hours per week for 12 weeks during the summer of 2027 required
• A commitment to working on-site at Gallup’s San Francisco office Monday through Thursday required, with the option to work remotely on Friday
• Eligibility to work in the United States required; this position is not eligible for employment visa sponsorship

Nice To Haves

• Experience designing experiments, analyzing quantitative results or evaluating machine learning systems preferred
• Familiarity with modern machine learning frameworks and techniques, such as PyTorch, transformer models, retrieval systems or model evaluation, preferred
• Previous research experience, publications, open-source contributions or technically substantial independent projects are a plus
• Anticipated graduation between August 2027 and May 2028 preferred; will consider 2029 graduates

Responsibilities

• Research advances in AI and machine learning, reproduce promising approaches and evaluate whether they meaningfully improve on existing methods
• Design and contribute to experiments and prototypes that test new approaches to AI systems, applied machine learning and AI-enabled products
• Investigate technical questions involving AI systems, retrieval and knowledge systems, model evaluation, machine learning, and other areas relevant to Gallup’s AI research
• Turn research questions into hypotheses, experiments, measurable results and technical recommendations
• Analyze experimental results, identify limitations and unexpected findings, and clearly communicate what the evidence supports
• Evaluate new models, methods and tools through benchmarks, experiments and hands-on implementation
• Document methods, results and recommendations so other researchers and engineers can reproduce and build on your work
• Collaborate closely with AI researchers, engineers and other technical partners as new capabilities move from research into real systems

Benefits

• A full-time summer 2027 internship that pays $45 to $50 per hour
• The potential to work up to 20 hours per week during the school year, depending on business demands
• The potential for a full-time job offer upon graduation, based on Gallup’s business needs and intern performance

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: Associate degree