Data Science Intern 1

Corsair•Milpitas, CA

8d•$30 - $30•Onsite

About The Position

Position Summary, Responsibilities and Expectations: 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 CORSAIR also includes subsidiary brands Elgato, which provides premium studio equipment and accessories for content creators; SCUF Gaming, which builds custom-designed controllers for competitive gamers; ORIGIN PC, a builder of custom gaming and workstation desktop PCs and laptops; DROP, a community-driven brand known for enthusiast keyboards and curated peripherals; and Fanatec, a leading manufacturer of high-end sim racing hardware. This position is onsite in Milpitas, CA and not open to remote status at this time. This internship includes a base pay rate of $30 per hour, holiday pay, and perks access to the onsite fitness center. We have many intern openings in a variety of departments, check them all out to see which suits your interests and professional development the best at corsair.com/careers.

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

Responsibilities

Implementing data pipelines
Construct data pipelines that handle large datasets, ensuring data is processed and available for ML model training
Use statistical analysis and fine-tuning techniques to maximize model performance in real-world applications
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