FAQs
Is this internship fully remote?
Yes, this is a full-time remote Summer Internship that can be based anywhere in the United States or Canada.
What is the duration of the internship?
The duration of the program is expected to be 90 days.
What role will the intern play in the Analytics and Decision Science Team?
The intern will help build machine learning predictive analytics to drive business operations and enable better decision-making in various areas such as marketing, sales, success, support, and supply chain.
What qualifications are needed to apply for the internship?
Candidates should be currently enrolled in a Master's Degree program in Data Science, Computer Science, Mathematics, Industrial Engineering, or a related technical field. Previous internship or work experience is preferred.
What technical skills are required for this position?
The ideal candidate should have strong Python skills, experience with SQL and PowerBI, and familiarity with machine learning concepts, natural language processing, computer vision, time series analysis, and Bayesian analysis.
Are there any specific tools or platforms the intern will work with?
Yes, the intern will work with Python, Jupyter Notebooks, PowerBI (or an equivalent like Tableau), and will engage with data pipelines designed for machine learning.
How will performance be evaluated during the internship?
The intern's performance will be assessed based on their ability to develop and deliver predictive analytics solutions, conduct thorough testing and validation of machine learning models, and effectively communicate with stakeholders.
When can the intern expect to work during the summer?
The intern should be available to work for the complete summer break, typically between May - August or June - September.
What is the compensation for this internship?
Compensation varies based on geographical location. The average base pay range is between $24.00 - $34.50 USD Hourly, depending on the location.
Who can I contact for assistance with the application process?
For assistance, you can email calix.interview@calix.com or call +1 (408) 514-3000.
Is Calix an equal opportunity employer?
Yes, Calix is committed to providing equal employment opportunities to all applicants and employees.