Machine Learning Product Summer Intern

Pacvue

1d•Remote

About The Position

Join Pacvue’s Data, ML and AI organization to help build intelligent systems that power automation, optimization, and insights across retail media and commerce. This role will contribute to applied machine learning and data initiatives that directly support product capabilities used by thousands of brands and agencies worldwide. Project Scope Work with Pacvue’s Data, ML and AI team to 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. Deliverables / Milestones 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. Learning Objectives Gain hands-on experience applying machine learning techniques to large-scale real-world commerce and retail media datasets. Learn how data, ML models, and AI capabilities are integrated into production SaaS platforms. Develop practical skills in Python-based data analysis and machine learning tools such as Pandas, SQL, and ML frameworks. Build experience collaborating in a cross-functional environment with engineering, data science, and product teams. Improve the ability to translate technical analysis into insights that influence product and business decisions.

Requirements

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

Responsibilities

Work with Pacvue’s Data, ML and AI team to 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.