FAQs
What is the duration of the internship?
The internship program is 12 weeks long, with the end date being flexible based on individual needs.
Where is the internship located?
The internship will be in Newark, CA, and is fully in-person.
What are the work hours for this internship?
Specific work hours are not mentioned, but interns are expected to work full-time during the internship period.
Are there any educational requirements for this position?
Yes, candidates must be currently enrolled in a Bachelor's or Master's Degree program in Data Science, Computer Science, Industrial Engineering, Electrical Engineering, or a related field.
What programming languages and tools should applicants be proficient in?
Applicants should be proficient in Python and have experience with AI/ML libraries such as TensorFlow or PyTorch, as well as familiarity with scikit-learn, pandas, NumPy, and Apache Airflow.
Is there a possibility for relocation assistance?
Yes, relocation assistance may be provided on a case-by-case basis.
What compensation can interns expect?
Interns can expect compensation based on location and current degree level, ranging from $40 to $60, which is non-negotiable.
Are medical benefits provided?
Yes, dental, vision, and medical benefits are available from day one for all interns working full-time.
Will provide housing and transportation for interns?
No, interns must provide their own living arrangements and transportation in the local area.
Is there a background check required for this internship?
Yes, all offers of employment are contingent on clearing a background check.
Does Lucid offer visa sponsorship for this position?
Lucid may but is not obligated to sponsor foreign national employees requiring company sponsorship for U.S. employment authorization.
Is prior experience in manufacturing systems or data handling required?
While it's not required, experience with large-scale datasets, particularly related to manufacturing processes, is preferred.
What kind of projects will the intern be working on?
Interns will work on projects leveraging Generative AI for manufacturing optimization, event detection models, and data analysis aimed at vehicle performance and customer experience enhancement.