Duration

• 12-week Summer Internship (May 27 – August 13^th, 2026 OR June 16^th – September 13^th, 2026)

Responsibilities

• Develop and prototype AI-powered e-commerce solutions such as product recommendation systems, personalization engines, and chat agents.
• Process, organize, and manage large-scale customer and product datasets for training and evaluation.
• Write clean, efficient, and reusable Python code to support data pipelines and machine learning experiments.
• Collaborate with engineers, data scientists, and business teams to translate insights into impactful shopping experiences.
• Document findings, experiments, and performance metrics to improve model accuracy and reliability.

Requirements

• Fluent in Python and comfortable working with data science and ML libraries (e.g.,  scikit-learn, TensorFlow, or PyTorch).
• Proactive about learning and applying AI/ML techniques for e-commerce personalization, search optimization and chat agents.
• Detail-oriented, organized, and confident handling complex datasets and analytical challenges.
• Collaborative, communicative, and comfortable contributing in fast-paced, experimental environments.
• Motivated by solving unique business problems and pushing the boundaries of ecom innovation through AI.
• You are actively enrolled as a full-time student in an accredited institution and have completed at least one year of education.
• Able to work 40 hours a week onsite throughout the course of the 12-week summer internship either between (May 27 – August 13^th, 2026 OR June 16^th – September 13^th, 2026) 
• Legally authorized to work in the United States 

Company
CORSAIR (NASDAQ: CRSR) is a leading global developer and manufacturer of high-performance gear and technology for gamers, content creators, and PC enthusiasts. From award-winning PC components and peripherals, to premium streaming equipment and smart ambient lighting, CORSAIR delivers a full ecosystem of products that work together to enable everyone, from casual gamers to committed professionals, to perform at their very best.