FAQs
What is the location of the GenAI Data Science / AI Operations Intern position?
The internship is based in San Diego, California.
What educational qualifications are required for this internship?
Candidates should be currently pursuing a degree in Computer Science, Data Science, Bioinformatics, Engineering, Digital Health, or a related field.
What skills are preferred for applicants to this internship?
Preferred skills include familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch), Dev Ops tools (e.g., Jenkins, Docker, Kubeflow), and experience with cloud platforms (AWS, GCP, Azure), among others.
What programming language should applicants be proficient in?
Applicants should have experience writing code in Python.
Is prior work experience required for this internship?
While previous internships or projects involving data engineering and data science are preferred, they are not strictly required.
What is the hourly pay for the internship?
The anticipated base pay varies based on the level of education: Sophomore $28.50/hr, Junior $30.00/hr, Senior $32.00/hr, Master’s degree $38.00/hr, and PhD $59.00/hr.
How long will the job posting be open for applications?
The job posting is anticipated to close on 2/25/2025, but the company may extend this time period.
Are applicants required to be authorized to work in the U.S.?
Yes, applicants must be permanently authorized to work in the U.S. and must not require sponsorship for an employment visa at the time of application or in the future.
What opportunities for growth does this internship provide?
This internship offers valuable experience working on real-world projects in AI/ML, collaboration with data scientists and engineers, and the opportunity to develop skills in generative AI and data engineering.
Is there a focus on diversity and equal opportunity in hiring for this position?
Yes, Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer, ensuring fair consideration for employment without discrimination based on various factors.