Data Science Intern 1 at Corsair in Milpitas, CA

Summary: Corsair is a company that includes several subsidiary brands focused on gaming and content creation. They are seeking a Data Science Intern to assist in building data pipelines, deploying machine learning systems, and working with large datasets to enhance model performance. 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 Required Qualifications: - 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 - 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 Required Skills: Python, SQL, AWS, TensorFlow/PyTorch Important Skills: DBT, Spark/Hadoop, Scikit-learn Nice-to-Have Skills: Docker, Beautiful Soup/Scrapy Benefits: Holiday pay, Perks access to the onsite fitness center