FAQs
What kind of internship is this position for?
This position is for a Machine Learning Internship specifically focused on AI engineering for self-driving technologies at Tesla.
What skills are required for this internship?
Candidates should have demonstrated experience in machine learning frameworks, strong programming skills in Python, knowledge of deep learning architectures, and experience with various AI techniques such as reinforcement learning and generative modeling.
What can interns expect to work on during this internship?
Interns will work on building large-scale models for Tesla's AI products, applied research in areas like computer vision and large language models, and the implementation of novel AI techniques for self-driving systems.
Is there an opportunity for hands-on experience with Tesla's data?
Yes, interns will leverage millions of miles of driving data and interventions to build robust learning-based self-driving systems.
What is the expected duration of the internship?
This internship is for the Winter/Spring 2025 period.
Does Tesla provide any benefits for interns?
Yes, interns are eligible for various benefits, including medical plans, dental and vision coverage, healthcare flexible spending accounts, and more.
What is the expected compensation for this internship?
The expected compensation ranges from $100,000 to $150,000 annually, depending on various individualized factors.
Are there specific AI disciplines Tesla is seeking interns for?
Yes, Tesla is seeking interns to work on training large-scale models, improving data engines for dataset curation, reinforcement learning, and designing compound AI systems.
What kind of projects will interns collaborate on?
Interns will collaborate on applying research findings to real-world challenges, ensuring high-quality system integration, and experimenting with new data generation techniques.
Is Tesla an equal opportunity employer?
Yes, Tesla is committed to diversity in the workplace and provides equal employment opportunities regardless of various factors such as race, gender, or disability.