FAQs
What is the duration of the internship?
The internship is a 12-week paid summer program.
What are the preferred educational qualifications for this internship?
Candidates should be currently enrolled in a University degree program, having completed their 3rd year of a Bachelor's degree, their 1st year of a Master's degree, or be a PhD candidate, typically in a technical degree specialization.
What majors are preferred for applicants?
The preferred majors include Computer Science, Computer Engineering, Software Engineering, Artificial Intelligence, Machine Learning, and Data Science.
What programming languages should I be familiar with for this internship?
Candidates should have some experience with programming languages like Python, Java, C/C++, or C#.
Are there any specific AI models that I should have experience with?
Yes, experience with AI models such as Linear Regression, Logistic Regression, Decision Trees, and Random Forests is preferred.
What type of projects will interns be working on?
Interns will work on documenting and testing new software applications, assessing new application ideas in AI and Machine Learning, and participating in cutting-edge research in deep learning, among other responsibilities.
Is the internship geared towards any specific industry or field?
The internship focuses on the Personal Systems organization, which aims to create a digital ecosystem, enhancing computing and AI experiences in areas like gaming and security software.
What benefits are offered to interns?
HP offers a comprehensive benefits package, including health, dental, and vision insurance, long-term and short-term disability insurance, a flexible spending account, life insurance, and generous time-off policies.
What is the pay range for this internship?
The pay range for this position is between $35 to $53 per hour, depending on the work location, job-related knowledge, skills, and experience.
Is there an emphasis on diversity in the hiring process for this internship?
Yes, candidates who identify with historically underrepresented groups in the technology sector, such as African Americans, Latinos, Native Americans, individuals with disabilities, and veterans are encouraged to apply.