Duration

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

Responsibilities

• Strong proficiency working with Python, SQL, C++ as well as other programming languages used in ML
• Implementing data pipelines. Construct data pipelines that handle large datasets, ensuring data is processed and available for ML model training. 
• Experience working with Big Data tools like DBT, Spark, Hadoop and AWS
• Use statistical analysis and fine-tuning techniques to maximize model performance in real-world applications.
• Knowledge of web scraping libraries and frameworks (e.g., Scrapy, Beautiful Soup) and automation tools (e.g., Selenium Web Driver) 
• Deploy, monitor, and maintain machine learning systems to ensure reliable, efficient operations.
• Automating model training and deployment. Use automation tools to streamline the model training and deployment process, enhancing efficiency and scalability.
• Experience with scikit-learn, Keras, and either TensorFlow or PyTorch
• Good experience in Power BI reporting and data engineering.

Requirements

• Python
• SQL
• DBT
• Spark/Hadoop
• Scikit-learn
• TensorFlow/PyTorch
• Docker
• AWS
• Beautiful Soup/Scrapy
• 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.