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Internship, AI Engineer, Self-Driving (Winter/Spring 2025)

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Tesla

26d ago

  • Internship
    Full-time
    Summer Internship
  • Data
    Software Engineering
  • Palo Alto

AI generated summary

  • You must have experience in ML frameworks, Python, deep learning techniques, model training, and deploying large-scale ML models, along with proven innovations or publications in AI.
  • You will train AI models, improve data curation, develop reinforcement learning, design AI systems, conduct applied research, implement novel techniques, and collaborate to enhance Tesla’s self-driving capabilities.

Requirements

  • Demonstrated experience in machine learning frameworks and models such as PyTorch, TensorFlow, GPT, CNNs, and generative models
  • Strong experience with Python and software engineering best practices
  • Experience with one or more of imitation Learning, reinforcement learning (offline/off-policy), modern neural network architectures (e.g., GPT, diffusion, generative models), or related techniques
  • An “under the hood” knowledge of deep learning: layer details, loss functions, optimization, etc
  • Prior experience with sparse training techniques, neural network pruning, and generative modeling
  • Experience with training large models on distributed computing
  • Ability to work on complex problems and produce significant research and/or experience deploying production ML models at scale
  • Proven track record of innovations and executions in deep learning, demonstrated with shipping products or first-author publications at leading AI conferences

Responsibilities

  • Train large-scale foundation and generative models that are optimized for performance and latency
  • Improve data engine for large scale and high-quality dataset curation
  • Reinforcement Learning for instilling objectives and improving overall robustness
  • Design compound AI systems for better planning and reasoning
  • Applied research in the areas of Foundation Models, including but not limited to computer vision, large language models and generative modeling
  • Work on cutting-edge techniques in AI - multi-task learning, video networks, multi-modal generative models, imitation learning, reinforcement learning, semi-supervised learning, self-supervised learning
  • Explore and implement novel AI tooling and techniques for efficient training and fine-tuning of large-scale models
  • Leverage millions of miles of driving data and interventions to build a robust and scalable end-to-end learning based self-driving system
  • Collaborate with a team to apply research findings to real-world challenges, ensuring high-quality system integration within existing platforms
  • Experiment with data generation and network driven data collection approaches to enhance the diversity and quality of training data
  • Ship production quality, safety-critical software to the entirety of Tesla’s vehicle fleet

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.

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Tesla

Tesla’s mission is to accelerate the world’s transition to sustainable energy.

Automotive
Industry
10,001+
Employees
2003
Founded Year

Mission & Purpose

Tesla’s mission is to accelerate the world’s transition to sustainable energy through increasingly affordable electric vehicles in addition to renewable energy generation and storage. California-based Tesla is committed to having the best-in-class in safety, performance, and reliability in all Tesla cars. There are currently over 275,000 Model S, Model X and Model 3 vehicles on the road worldwide. To achieve a sustainable energy future, Tesla also created infinitely scalable energy products: Powerwall, Powerpack and Solar Roof. As the world’s only vertically integrated energy company, Tesla continues to innovate, scale and reduce the costs of commercial and grid-scale systems, with the goal of ultimately getting us to 100% renewable energy grids.