FAQs
What is the duration of the internship?
The internship is expected to last for a minimum of 12 weeks, starting around August/September 2025 and continuing through the Fall term (approximately December 2025).
Are international students eligible to apply for this internship?
Yes, international students can apply, but they must consult their school regarding work authorization through CPT and their ability to work 40 hours per week on-site.
What qualifications are required for this position?
Candidates must be pursuing a degree in Computer Science, Software Engineering, Physics, Math, Computer Engineering, or a related field with a graduation date between December 2025 and December 2026.
What skills are preferred for this role?
Preferred skills include experience with NLP machine learning models, deep learning, advanced data analysis tools, Python, Spark, SQL, Kubernetes, Docker, and CI/CD methods.
Is this position full-time or part-time?
This internship position is full-time, requiring 40 hours of work per week on-site.
Will I receive any benefits during the internship?
Yes, as a full-time Tesla Intern, you will be eligible for various benefits, including medical, dental, and vision plans, retirement savings options, paid time off, and additional resources.
What is the expected compensation for this internship?
The expected compensation for this position ranges from $30.83 to $43.16 per hour, plus benefits.
Can I apply for this internship if I am a recent graduate?
No, this internship program is specifically for students who are actively enrolled in an academic program. Recent graduates should apply for full-time positions instead.
What type of projects will I be working on?
Interns will work on establishing labeled and split data sets for NLP-based machine learning models, performing data analysis, and developing and improving CI/CD pipelines for ETL applications.
Are there opportunities for collaboration within the team?
Yes, a strong aptitude to collaborate with different internal stakeholders is expected to understand requirements and develop systems and tools to meet them.