Core Responsibilities (All Interns) Support department initiatives through research, documentation, and project coordination Assist with cross-functional collaboration across the 1-800-Flowers family of brands Attend team meetings, present findings, and share progress with stakeholders Participate in internship learning sessions, networking opportunities, and workshops Contribute ideas to enhance business processes and improve customer experience AI & Machine Learning Focused Responsibilities Assist in developing, testing, and optimizing machine learning models Support data preprocessing, feature engineering, and dataset validation Analyze structured and unstructured data to uncover insights and automation opportunities Contribute to AI-driven personalization, recommendation engines, or forecasting models Assist with building dashboards or visualizations to communicate AI insights to business teams Support experimentation, A/ B testing, and performance measurement of AI initiatives Research emerging AI technologies, tools, and industry best practices Help document model performance, processes, and governance standards Currently pursuing a Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, Mathematics, or a related field Strong analytical and problem-solving skills Experience with programming languages such as Python or R Familiarity with machine learning frameworks (e.g., Tensor. Flow, Py. Torch, Scikit-learn) is a plus Experience with SQL and working with large datasets preferred Understanding of statistics, data modeling, or predictive analytics Strong communication skills with the ability to explain technical concepts to non-technical stakeholders Ability to work independently and collaboratively in a fast-paced environment Demonstrated interest in AI innovation and emerging technologies What You’ll Gain Hands-on experience building and supporting real-world AI solutions within a leading e-commerce organization Exposure to enterprise-level AI strategy, innovation roadmaps, and product development processes The opportunity to contribute to high-impact projects that enhance personalization, customer experience, and operational efficiency Mentorship from leaders and technical experts in Product & AI Innovation Cross-functional collaboration experience with marketing, operations, merchandising, and technology teams Professional development workshops, networking events, and leadership engagement opportunities Experience presenting technical findings and insights to business stakeholders A portfolio of meaningful, measurable work that demonstrates applied AI and innovation skills The expected hourly rate for this position is $19.00. The actual compensation will be determined by experience and other factors permitted by the law.