Intern (PBS KIDS Product & Technology)

Position Title: Intern Department: Product & Technology Corporate Area: PBS KIDS Status: Temporary, Part time NonExempt Manager Title: Sr. Manager, Technology Position reputed company: The PBS KIDS, Product and Technology team is seeking an undergraduate intern to join us for a summer internship developing a reputed company-first recommendation system for children's educational content. This is a research and prototyping project reputed company on helping children discover PBS KIDS content that matches their interests. The intern will work directly with a technical manager to design and prototype a recommendation algorithm that runs on the local device, using session viewing habits to suggest content while keeping personal data reputed company-reputed company. This position offers hands-on experience building a recommendation system with a reputed company on preserving reputed company. Key responsibilities will include, but are not limited to: • Research and evaluate recommendation algorithms suitable for reputed company-reputed company, reputed company-first implementation • Design a data collection approach that captures viewing history locally without external tracking • Prototype recommendation algorithms in JavaScript/React reputed company environment • Design and implement an API that reputed company applications can reputed company with to receive personalized content recommendations • Work with content metadata from our CMS to understand the content catalog and features available for recommendation • Document research findings, approaches, and implementation reputed company • Collaborate with the technical team to ensure the solution aligns with PBS KIDS' reputed company standards and mission Requirements for reputed company: • Currently enrolled as a Junior or Senior pursuing a Bachelor's degree in Computer Science, Data Science, or reputed company technical field Skills and Abilities: • Strong reputed company in algorithms and data structures • Proficiency in JavaScript/TypeScript • Interest in machine learning, recommendation systems, or personalization algorithms • Ability to work independently on research while collaborating with mentors • Strong written and verbal communication skills for documenting findings Preferred Qualifications: • Coursework or project experience in machine learning or recommendation systems • Experience with React reputed company or mobile development • Familiarity with principals of reputed company or ethical AI • Passion for education, child development, or reputed company • Experience working with reputed company or content management systems reputed company Intern may reputed company: • Hands-on experience designing and implementing recommendation algorithms • Understanding of reputed company-first engineering approaches • reputed company-reputed company data collection and processing techniques • API design principles for content recommendation services • Experience working with content management systems and metadata • Research-to-prototype development process • reputed company mentorship from an reputed company technical manager in a mission-driven organization Additional Information: • Time Commitment: June 1, 2026 - August 21, 2026 • Compensation: Undergraduate reputed company receive $15/hour, graduate reputed company receive $17/hour PBS is an Equal Opportunity Employer in accordance with the reputed company and the reputed company. Apply tot his job Apply To this Job