FAQs
Is this a remote position?
Yes, this is a fully remote position that can be based anywhere in the United States or Canada.
What are the main responsibilities of the Machine Learning Intern?
The main responsibilities include designing and implementing machine learning algorithms, conducting model evaluation and optimization, implementing models using frameworks like TensorFlow and PyTorch, developing generative AI applications, and documenting model architectures and results.
What qualifications are required for this position?
Candidates should be pursuing a Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related technical field, have a strong foundation in mathematics and statistics, proficiency in Python programming, and understanding of fundamental machine learning concepts.
Are there any preferred qualifications for this role?
Yes, preferred qualifications include previous coursework or projects in machine learning, experience with big data technologies like Apache Spark, familiarity with cloud platforms, knowledge of MLOps practices, and understanding of deep learning architectures and NLP concepts.
What is the expected duration of the internship?
The candidate must be able to work for the complete summer break, which spans from May to August or June to September.
What is the pay rate for this internship?
The average base pay range in the U.S. for this position is $27.60 - $34.50 USD hourly for the San Francisco Bay Area, and $24.00 - $30.00 USD hourly for all other locations.
Do you require any specific experience in version control systems?
Yes, experience with version control systems like Git is required.
Is prior work experience preferred for candidates?
Yes, preference will be given to students with prior work experience.
How can a person with a disability get assistance with the application process?
They can email us at calix.interview@calix.com or call us at +1 (408) 514-3000 for assistance.
What is Calix's mission?
Calix's mission is to enable Communication Service Providers of all sizes to Simplify, Innovate, and Grow, while improving the broadband experience for communities.