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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
- 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
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.
Key Skills
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