<p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 2">Machine Learning Product Summer Intern</span></span></strong></p><p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 2">Overview</span></span></strong><span data-ccp-props="{"134233117":false,"134233118":false,"134245418":true,"134245529":true,"335559738":299,"335559739":299}"> </span></p><p><span data-contrast="auto">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.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p><p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 2">Project Scope</span></span></strong><span data-ccp-props="{"134233117":false,"134233118":false,"134245418":true,"134245529":true,"335559738":299,"335559739":299}"> </span></p><ul><li><span data-contrast="auto">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.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></li><li><span data-contrast="auto">Collaborate with data scientists, ML engineers, and product managers to explore large-scale retail media datasets and identify patterns that can inform product capabilities.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></li><li><span data-contrast="auto">Assist in building or improving data pipelines, feature engineering processes, or model evaluation frameworks.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></li><li><span data-contrast="auto">Participate in prototyping AI-enabled product features such as recommendations, automation workflows, or predictive insights.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></li><li><span data-contrast="auto">Contribute to technical documentation and communicate findings with engineering and product stakeholders.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></li></ul><p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 2">Deliverables / Milestones</span></span></strong><span data-ccp-props="{"134233117":false,"134233118":false,"134245418":true,"134245529":true,"335559738":299,"335559739":299}"> </span></p><ul><li><span data-contrast="auto">Develop and evaluate at least one machine learning model or analytical prototype using Pacvue datasets.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></li><li><span data-contrast="auto">Produce exploratory data analysis and insights that support model development or product decisions.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></li><li><span data-contrast="auto">Deliver a working prototype, experiment report, or pipeline improvement demonstrating measurable impact or learning.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></li><li><span data-contrast="auto">Present project outcomes and recommendations to the Data, ML and AI team and relevant product stakeholders at the end of the internship.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></li><li><span data-contrast="auto">Document code, methods, and results to enable future productionization or further experimentation.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></li></ul><p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 2">Learning Objectives</span></span></strong><span data-ccp-props="{"134233117":false,"134233118":false,"134245418":true,"134245529":true,"335559738":299,"335559739":299}"> </span></p><ul><li><span data-contrast="auto">Gain hands-on experience applying machine learning techniques to large-scale real-world commerce and retail media datasets.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></li><li><span data-contrast="auto">Learn how data, ML models, and AI capabilities are integrated into production SaaS platforms.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></li><li><span data-contrast="auto">Develop practical skills in Python-based data analysis and machine learning tools such as Pandas, SQL, and ML frameworks.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></li><li><span data-contrast="auto">Build experience collaborating in a cross-functional environment with engineering, data science, and product teams.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></li><li><span data-contrast="auto">Improve the ability to translate technical analysis into insights that influence product and business decisions.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></li></ul><p data-start="0" data-end="27"><strong data-start="0" data-end="27">Skills & Qualifications</strong></p><ul><li data-start="30" data-end="89">Interest in machine learning, data, or AI-driven products</li><li data-start="92" data-end="157">Familiarity with programming languages (e.g., Python preferred)</li><li data-start="160" data-end="219">Basic data analysis skills (Excel, SQL, or similar tools)</li><li data-start="222" data-end="262">Analytical and problem-solving mindset</li><li data-start="265" data-end="316">Ability to communicate technical concepts clearly</li><li data-start="319" data-end="357">Curious, proactive, and eager to learn</li></ul><p><strong><span data-contrast="none">Location/Time Zone Preference: </span></strong><span data-contrast="none">United States - Central, Mountain, or Pacific Time Zones</span></p><p>This is an hourly, remote summer internship for college students, offering up to 35 hours per week at a rate of $20 per hour. <br>This role is available for our 9-week summer cohort running from May 18 – July 17.</p><p> </p><p><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":0}">#LI-Remote</span></p><div class="content-conclusion"><p><em data-stringify-type="italic">Pacvue is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.</em></p></div>