Machine Learning / Data Science Intern - Full-time / Part-time
•10 days ago
| Verified Pay check_circle | Provided by the employer$45.75 per hour |
|---|---|
| Hours | Full-time, Part-time |
| Location | San Jose, CA San Jose, California open_in_new |
About this job
Role Overview
We are seeking a motivated intern to support our Machine Learning (ML) and Artificial Intelligence (AI) initiatives. The intern will assist in data collection, analysis, and processing for pilot projects. This role offers hands-on experience in applying data science techniques to real-world manufacturing and quality challenges.
Key Responsibilities
- Collect, clean, and organize large datasets.
- Perform exploratory data analysis and generate insights to support ML models.
- Assist in developing and validating algorithms for data processing.
- Collaborate with cross-functional teams to ensure data integrity and quality.
- Document workflows and maintain clear records of analysis and findings.
Desired Qualifications
- Currently pursuing a Master's degree in Data Science, Computer Science, Electrical Engineering, or related field.
- Graduating between March 2026 and August 2027
Preferred Qualifications
- Experience with image processing or topography data analysis.
- Knowledge of statistical methods and data visualization tools (e.g., Matplotlib, Seaborn).
- Exposure to manufacturing or semiconductor processes is a plus.
- Strong foundation in Python and libraries such as Pandas, NumPy, Scikit-learn.
- Familiarity with machine learning concepts and data preprocessing techniques.
- Ability to work independently and manage multiple tasks in a fast-paced environment.
- Excellent communication and documentation skills.
What We Offer
- Opportunity to work on cutting-edge ML/AI projects in a high-impact environment.
- Mentorship from experienced professionals in quality and data science.
- Hands-on experience with real-world datasets and industrial applications.
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Full-time Jobs Part-time Jobs Gig Jobs Posting ID: 1229206591 Posted: 2026-02-10 Job Title: Machine Learn