AI Research Engineer, Foundation Models, Self-Driving

Join us to help build the vision and language models that understand the world and act intelligently in it. We are hiring exceptional Software Engineers that can work across the machine learning stack, from designing and training neural architectures to deciding what data to collect and how to evaluate the model. You will join a small group of world-class deep learning experts to develop novel state-of-the-art neural networks and push the boundaries of AI research and development. Your work will enable real-world intelligent systems for full autonomous driving. Join a team that cares deeply about solving real world embedded intelligence and behavior.

• Own a machine learning vertical, including deciding what data we should collect and how to label it, designing the network architecture, training the model at scale on one of the largest GPU clusters in the world, and driving and evaluating your model in an engineering Tesla vehicle
  
• Work with a world-class team on cutting-edge techniques in large multimodal models, multi-task learning, video networks, generative models, imitation learning, semi-supervised learning, and self-supervised learning
  
• Have an outsized impact deploying foundation models to millions of Tesla’s robotic platforms across the world
  

• Strong software engineering skills: much of modern deep learning success comes down to the quality of the implementation and strong engineering ability is non-negotiable
  
• Demonstrated excellence and a proven track record of solving difficult software engineering problems
  
• An “under the hood” knowledge of deep learning: layer details, loss functions, optimization, etc.
  
• Experience with PyTorch, or another major deep learning framework such as JAX or TensorFlow
  
• Experience working with large datasets