Machine Learning Product Summer Intern at Pacvue in Remote

Summary: Pacvue is a company focused on building intelligent systems that power automation, optimization, and insights across retail media and commerce. This internship role involves contributing to applied machine learning and data initiatives that enhance product capabilities used by numerous brands and agencies worldwide. Responsibilities: - Support the development and experimentation of machine learning models that improve campaign optimization, forecasting, or decision automation - Collaborate with data scientists, ML engineers, and product managers to explore large-scale retail media datasets and identify patterns that can inform product capabilities - Assist in building or improving data pipelines, feature engineering processes, or model evaluation frameworks - Participate in prototyping AI-enabled product features such as recommendations, automation workflows, or predictive insights - Contribute to technical documentation and communicate findings with engineering and product stakeholders - Develop and evaluate at least one machine learning model or analytical prototype using Pacvue datasets - Produce exploratory data analysis and insights that support model development or product decisions - Deliver a working prototype, experiment report, or pipeline improvement demonstrating measurable impact or learning - Present project outcomes and recommendations to the Data, ML and AI team and relevant product stakeholders at the end of the internship - Document code, methods, and results to enable future productionization or further experimentation Required Qualifications: - Interest in machine learning, data, or AI-driven products - Familiarity with programming languages (e.g., Python preferred) - Basic data analysis skills (Excel, SQL, or similar tools) - Analytical and problem-solving mindset - Ability to communicate technical concepts clearly - Curious, proactive, and eager to learn Required Skills: Machine Learning, Python Important Skills: Data Analysis, SQL Nice-to-Have Skills: Curiosity